DefectRAG phase 5: incremental real-model application migration

README.md

@@ -15,7 +15,9 @@ short_description: Live React dashboard and DINOv2 inspection on ZeroGPU
 # DefectRAG — migration phase 5
 
 Existing React UI, real frozen DINOv2 inspection across all 12 VisA categories,
-original normal-reference banks, calibration and heatmaps. No training rerun.
+original normal-reference banks and heatmaps, with versioned normal-only decision
+calibration. No training rerun. The q95 sensitivity policy trades more false
+alarms for higher recall; historical inspection decisions are preserved.
 Anonymous browser history is isolated and temporary. Sign in to the configured
 staff workspace for durable shared records when available. Do not treat anomaly
 scores as probabilities or diagnoses. The operator selects the product category.

backend/calibration.py

@@ -0,0 +1,48 @@
+"""Versioned decision calibration; encoder, memory and old records stay unchanged."""
+import json
+import math
+import os
+
+
+POLICY = 'normal-q95-v1'
+FILENAME = 'sensitive_deployment_evaluation.json'
+
+
+def active_evaluation(root, baseline):
+    policy = os.getenv('DEFECTRAG_CALIBRATION', POLICY)
+    if policy == 'normal-max-v1':
+        return baseline
+    if policy != POLICY:
+        raise ValueError('Unknown decision calibration policy')
+    path = root / 'results' / FILENAME
+    if not path.exists():
+        return baseline
+    candidate = json.loads(path.read_text())
+    if candidate.get('decision_policy') != POLICY or set(candidate['categories']) != set(baseline['categories']):
+        raise ValueError('Invalid decision calibration manifest')
+    for category, original in baseline['categories'].items():
+        card = candidate['categories'][category]
+        for key in ('category', 'profile', 'encoder_sha256', 'bank_sha256', 'heatmap_scale', 'train_normal_count'):
+            if card[key] != original[key]:
+                raise ValueError('Calibration manifest does not match the original model: ' + category)
+        if (card['baseline_threshold'] != original['threshold'] or
+                card['model_id'] != original['model_id'] + '-q95-v1' or
+                card['calibration'].get('policy') != POLICY or
+                card['calibration']['normal'] != original['calibration']['normal'] or
+                card['calibration']['anomalous'] != 0 or
+                not math.isfinite(card['threshold']) or not 0 < card['threshold'] <= original['threshold'] or
+                not math.isclose(card['uncertainty_margin'], card['threshold'] * .05, abs_tol=1e-12)):
+            raise ValueError('Invalid calibrated threshold: ' + category)
+    return candidate
+
+
+def calibrated_card(root, original):
+    # Both local and ZeroGPU inference use this exact manifest and guard logic.
+    baseline_path = root / 'results/highres_deployment_evaluation.json'
+    if not baseline_path.exists():
+        return original
+    baseline = json.loads(baseline_path.read_text())
+    for key in ('threshold', 'model_id', 'encoder_sha256', 'bank_sha256'):
+        if baseline['categories'][original['category']][key] != original[key]:
+            raise ValueError('Original model card and evaluation disagree')
+    return active_evaluation(root, baseline)['categories'][original['category']]

backend/highres.py

@@ -17,6 +17,7 @@ import torch.nn.functional as F
 from transformers import AutoModel
 from .vision import distances,ModelUnavailable,sha256,display_map
 from .config import CATEGORIES
+from .calibration import calibrated_card
 
 
 class HighResolutionEncoder:
@@ -84,11 +85,11 @@ class HighResolutionDetector:
         self.banks={};self.lock=threading.Lock()
 
     def cards(self):
-        return [json.loads((self.directory/f'{category}.json').read_text()) for category in CATEGORIES]
+        return [calibrated_card(self.settings.root,json.loads((self.directory/f'{category}.json').read_text())) for category in CATEGORIES]
 
     def load(self,category):
         if category not in CATEGORIES:raise ValueError('Unsupported product category')
-        card=json.loads((self.directory/f'{category}.json').read_text())
+        card=calibrated_card(self.settings.root,json.loads((self.directory/f'{category}.json').read_text()))
         encoder = self.encoder
         if encoder is None:
             source=self.settings.root/'models/encoder_dinov2'

backend/main.py

@@ -115,6 +115,9 @@ def create_app(settings=None, detector=None, workflow=None, repository=None):
         active=getattr(detector,'profile_name','legacy')=='dinov2_highres_v1'
         path=settings.root/'results'/('highres_deployment_evaluation.json' if active else 'evaluation.json')
         result=json.loads(path.read_text()) if path.exists() else {'status':'unverified'}
+        if active and 'categories' in result:
+            from .calibration import active_evaluation
+            result=active_evaluation(settings.root,result)
         profile=settings.root/'results'/'serving_profile.json'
         if profile.exists() and not active:result['serving_profile']=json.loads(profile.read_text())
         return {'data':result}

deployment/space/app.py

@@ -25,6 +25,7 @@ from fastapi import HTTPException
 from fastapi.responses import FileResponse, JSONResponse, RedirectResponse
 from fastapi.staticfiles import StaticFiles
 from backend.config import CATEGORIES, Settings
+from backend.calibration import calibrated_card
 from backend.highres import HighResolutionEncoder, foreground_mask, score_tokens, restore_map
 from backend.vision import sha256, display_map
 from backend.storage import now
@@ -32,7 +33,7 @@ from deployment.space.sessions import SessionRepository, identity, namespace, NA
 
 ZERO = os.getenv('SPACES_ZERO_GPU') == '1'
 DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'
-CARDS = {category: json.loads((ROOT/f'models/highres/{category}.json').read_text()) for category in CATEGORIES}
+CARDS = {category: calibrated_card(ROOT,json.loads((ROOT/f'models/highres/{category}.json').read_text())) for category in CATEGORIES}
 ENCODER = HighResolutionEncoder(ROOT/'models/encoder_dinov2', device='cpu')
 encoder_digest = sha256(ROOT/'models/encoder_dinov2/model.safetensors')
 assert all(card['encoder_sha256'] == encoder_digest for card in CARDS.values())

deployment/space/publish.py

@@ -23,6 +23,8 @@ def main():
         path=ROOT/relative
         if path.exists():
             files[relative]=path
+    for relative in ('results/sensitive_deployment_evaluation.json',):
+        files[relative]=ROOT/relative
     for directory in ('backend','deployment/space'):
         for path in (ROOT/directory).glob('*.py'):
             files[path.relative_to(ROOT).as_posix()] = path
@@ -52,7 +54,9 @@ def main():
     header = readme.split('---',2)[1].replace('DefectRAG - Phase 1 compatibility test','DefectRAG').replace('Existing React UI plus one genuine DINOv2 ZeroGPU inspection','Live React dashboard and DINOv2 inspection on ZeroGPU')
     body = f'''\n# DefectRAG — migration phase {args.phase}\n
 Existing React UI, real frozen DINOv2 inspection across all 12 VisA categories,
-original normal-reference banks, calibration and heatmaps. No training rerun.
+original normal-reference banks and heatmaps, with versioned normal-only decision
+calibration. No training rerun. The q95 sensitivity policy trades more false
+alarms for higher recall; historical inspection decisions are preserved.
 Anonymous browser history is isolated and temporary. Sign in to the configured
 staff workspace for durable shared records when available. Do not treat anomaly
 scores as probabilities or diagnoses. The operator selects the product category.

frontend/dist/assets/TeamWorkspace-C-ePZ-kX.js

@@ -0,0 +1,41 @@
+import{c as h,r as n,a as Q,b as d,R as e,L as X,S as $,A as ee,d as te}from"./index-BdEpy7cy.js";/**
+ * @license lucide-react v0.468.0 - ISC
+ *
+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
+ */const ae=h("ArchiveRestore",[["rect",{width:"20",height:"5",x:"2",y:"3",rx:"1",key:"1wp1u1"}],["path",{d:"M4 8v11a2 2 0 0 0 2 2h2",key:"tvwodi"}],["path",{d:"M20 8v11a2 2 0 0 1-2 2h-2",key:"1gkqxj"}],["path",{d:"m9 15 3-3 3 3",key:"1pd0qc"}],["path",{d:"M12 12v9",key:"192myk"}]]);/**
+ * @license lucide-react v0.468.0 - ISC
+ *
+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
+ */const _=h("Cloud",[["path",{d:"M17.5 19H9a7 7 0 1 1 6.71-9h1.79a4.5 4.5 0 1 1 0 9Z",key:"p7xjir"}]]);/**
+ * @license lucide-react v0.468.0 - ISC
+ *
+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
+ */const re=h("ExternalLink",[["path",{d:"M15 3h6v6",key:"1q9fwt"}],["path",{d:"M10 14 21 3",key:"gplh6r"}],["path",{d:"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6",key:"a6xqqp"}]]);/**
+ * @license lucide-react v0.468.0 - ISC
+ *
+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
+ */const ne=h("LogIn",[["path",{d:"M15 3h4a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2h-4",key:"u53s6r"}],["polyline",{points:"10 17 15 12 10 7",key:"1ail0h"}],["line",{x1:"15",x2:"3",y1:"12",y2:"12",key:"v6grx8"}]]);/**
+ * @license lucide-react v0.468.0 - ISC
+ *
+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
+ */const le=h("LogOut",[["path",{d:"M9 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h4",key:"1uf3rs"}],["polyline",{points:"16 17 21 12 16 7",key:"1gabdz"}],["line",{x1:"21",x2:"9",y1:"12",y2:"12",key:"1uyos4"}]]);/**
+ * @license lucide-react v0.468.0 - ISC
+ *
+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
+ */const se=h("RefreshCw",[["path",{d:"M3 12a9 9 0 0 1 9-9 9.75 9.75 0 0 1 6.74 2.74L21 8",key:"v9h5vc"}],["path",{d:"M21 3v5h-5",key:"1q7to0"}],["path",{d:"M21 12a9 9 0 0 1-9 9 9.75 9.75 0 0 1-6.74-2.74L3 16",key:"3uifl3"}],["path",{d:"M8 16H3v5",key:"1cv678"}]]);/**
+ * @license lucide-react v0.468.0 - ISC
+ *
+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
+ */const ce=h("Send",[["path",{d:"M14.536 21.686a.5.5 0 0 0 .937-.024l6.5-19a.496.496 0 0 0-.635-.635l-19 6.5a.5.5 0 0 0-.024.937l7.93 3.18a2 2 0 0 1 1.112 1.11z",key:"1ffxy3"}],["path",{d:"m21.854 2.147-10.94 10.939",key:"12cjpa"}]]);/**
+ * @license lucide-react v0.468.0 - ISC
+ *
+ * This source code is licensed under the ISC license.
+ * See the LICENSE file in the root directory of this source tree.
+ */const oe=h("Users",[["path",{d:"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2",key:"1yyitq"}],["circle",{cx:"9",cy:"7",r:"4",key:"nufk8"}],["path",{d:"M22 21v-2a4 4 0 0 0-3-3.87",key:"kshegd"}],["path",{d:"M16 3.13a4 4 0 0 1 0 7.75",key:"1da9ce"}]]);function me(){var D;const[c,A]=n.useState(null),[l,x]=n.useState(null),[v,M]=n.useState([]),[S,H]=n.useState({}),[g,F]=n.useState(""),[R,L]=n.useState(""),[o,q]=n.useState(!1),[P,y]=n.useState(""),[E,W]=n.useState(!1),[s,w]=n.useState(null),[B,V]=n.useState([]),[K,G]=n.useState([]),[k,z]=n.useState(""),[Y,I]=n.useState(!1),[U,O]=n.useState(""),[Z,N]=n.useState(!1),C=Q();async function i(t){q(!0),y("");try{await t()}catch(r){y(r.message||"Team request failed.")}finally{q(!1)}}async function b(){const{client:t,staff:r}=await te();x(r);let a=t.from("shared_inspections").select("*").order("created_at",{ascending:!1}).limit(200);a=E?a.not("archived_at","is",null):a.is("archived_at",null);const[{data:m,error:f},{data:u,error:p}]=await Promise.all([a,t.from("staff_members").select("*")]);if(f)throw f;if(p)throw p;M(m||[]),H(Object.fromEntries((u||[]).map(T=>[T.user_id,T.display_name])))}n.useEffect(()=>{if(!C)return;let t=!1,r;return d().then(async a=>{r=a.auth.onAuthStateChange((f,u)=>{t||(A((u==null?void 0:u.user)||null),f==="PASSWORD_RECOVERY"&&I(!0))}).data.subscription;const{data:m}=await a.auth.getUser();t||A(m.user)}).catch(a=>{t||y(a.message)}),()=>{t=!0,r==null||r.unsubscribe()}},[C]),n.useEffect(()=>{if(!c)return;let t=!1;b().catch(a=>{t||y(a.message)});const r=setInterval(()=>b().catch(a=>{t||y(a.message)}),15e3);return()=>{t=!0,clearInterval(r)}},[c==null?void 0:c.id,E]);async function j(t){await i(async()=>{const r=await d(),a=r.storage.from("team-inspections"),m=await Promise.all([t.image_path,t.heatmap_path].map(p=>a.createSignedUrl(p,900)));if(m.some(p=>p.error))throw new Error("Private images could not be loaded. 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Live AI runs on the connected inspection backend.")),e.createElement("span",{className:"subtle-tag"},e.createElement(_,{size:13})," SUPABASE")),P&&e.createElement("div",{className:"error",role:"alert"},P),c?e.createElement(e.Fragment,null,e.createElement("div",{className:"team-toolbar"},e.createElement("div",null,e.createElement($,{size:18}),e.createElement("strong",null,(l==null?void 0:l.display_name)||c.email),e.createElement("span",{className:"subtle-tag"},(l==null?void 0:l.role)||"CHECKING MEMBERSHIP")),e.createElement("button",{className:"secondary",disabled:o,onClick:()=>i(b)},e.createElement(se,{size:16})," Refresh"),e.createElement("button",{className:"secondary",onClick:()=>i(async()=>{await(await d()).auth.signOut(),M([]),w(null),x(null)})},e.createElement(le,{size:16})," Sign out")),Y&&e.createElement("form",{className:"login-form",onSubmit:t=>{t.preventDefault(),i(async()=>{const r=await d(),{error:a}=await r.auth.updateUser({password:U});if(a)throw a;O(""),I(!1)})}},e.createElement("label",{className:"field"},"Set a new password",e.createElement("input",{type:"password",minLength:12,autoComplete:"new-password",value:U,onChange:t=>O(t.target.value),required:!0})),e.createElement("button",{className:"primary",disabled:o},"Save password")),e.createElement("div",{className:"team-toolbar"},e.createElement("span",null,"Latest ",v.length," shared records · refreshes every 15 seconds"),(l==null?void 0:l.role)==="developer"&&e.createElement("button",{className:"secondary",onClick:()=>{W(!E),w(null)}},e.createElement(ae,{size:16}),E?"Active history":"Developer recovery"),!E&&e.createElement("button",{className:"secondary danger",disabled:o||!v.some(t=>t.owner_id===c.id),onClick:()=>N(!0)},e.createElement(ee,{size:16})," Archive my visible history")),Z&&e.createElement("div",{className:"note"},e.createElement("div",null,e.createElement("strong",null,"Archive your visible records?"),e.createElement("p",null,"They will leave the shared active history. Original files and conversations remain recoverable by a developer. Other staff members’ records will stay active."),e.createElement("div",{className:"button-row"},e.createElement("button",{className:"primary",disabled:o,onClick:J},"Archive my records"),e.createElement("button",{className:"secondary",onClick:()=>N(!1)},"Cancel")))),e.createElement("div",{className:"table-wrap"},e.createElement("table",null,e.createElement("thead",null,e.createElement("tr",null,e.createElement("th",null,"Inspection"),e.createElement("th",null,"Product"),e.createElement("th",null,"Result"),e.createElement("th",null,"Shared by"),e.createElement("th",null,"Saved"),e.createElement("th",null))),e.createElement("tbody",null,v.map(t=>{var r;return e.createElement("tr",{key:t.id},e.createElement("td",null,e.createElement("strong",null,t.id.slice(0,8))),e.createElement("td",null,t.payload.category),e.createElement("td",null,e.createElement("span",{className:"badge "+((r=t.payload.verdict)==null?void 0:r.toLowerCase())},t.payload.verdict)),e.createElement("td",null,S[t.owner_id]||"Staff member"),e.createElement("td",null,new Date(t.created_at).toLocaleString()),e.createElement("td",null,e.createElement("button",{className:"text-button",onClick:()=>j(t)},"Review"),E&&(l==null?void 0:l.role)==="developer"&&e.createElement("button",{className:"text-button",disabled:o,onClick:()=>i(async()=>{const a=await d(),{error:m}=await a.rpc("restore_team_inspections",{p_ids:[t.id]});if(m)throw m;await b()})},"Restore")))}))),!v.length&&e.createElement("div",{className:"empty"},e.createElement(_,{size:30}),e.createElement("p",null,E?"No archived records to recover.":"No shared inspections yet. In the local app, open a result and select Share with staff.")))):e.createElement("form",{className:"login-form",onSubmit:t=>{t.preventDefault(),i(async()=>{const r=await d(),{error:a}=await r.auth.signInWithPassword({email:g,password:R});if(a)throw a;L("")})}},e.createElement("label",{className:"field"},"Work email",e.createElement("input",{type:"email",autoComplete:"username",value:g,onChange:t=>F(t.target.value),required:!0})),e.createElement("label",{className:"field"},"Password",e.createElement("input",{type:"password",autoComplete:"current-password",value:R,onChange:t=>L(t.target.value),required:!0})),e.createElement("button",{className:"primary",disabled:o},o?e.createElement(X,{className:"spin",size:17}):e.createElement(ne,{size:17})," Sign in"),e.createElement("button",{type:"button",className:"text-button",disabled:!g||o,onClick:()=>i(async()=>{const t=await d(),{error:r}=await t.auth.resetPasswordForEmail(g,{redirectTo:location.origin+location.pathname});if(r)throw r;y("Password reset requested. Check your email.")})},"Reset password"),e.createElement("p",{className:"caption"},"Accounts must be invited and approved by your workspace developer. Signing up alone does not grant staff access."))),c&&s&&e.createElement("section",{className:"card"},e.createElement("div",{className:"section-title"},e.createElement("div",null,e.createElement("h2",null,"Shared inspection · ",s.id.slice(0,8)),e.createElement("p",null,"Saved snapshot from ",S[s.owner_id]||"a colleague",". This page does not run a new prediction.")),e.createElement("button",{className:"text-button",onClick:()=>w(null)},"Close")),e.createElement("div",{className:"shared-images"},B.map((t,r)=>e.createElement("img",{key:t,src:t,alt:r?"Saved anomaly heatmap":"Saved inspected product"}))),e.createElement("div",{className:"observation"},e.createElement("strong",null,"SAVED MEASUREMENTS"),e.createElement("span",null,s.payload.verdict," · score ",Number(s.payload.score).toFixed(5)," · threshold ",Number(s.payload.threshold).toFixed(5))),e.createElement("h3",{className:"section-gap"},"Recorded evidence"),(D=s.conversation)!=null&&D.length?s.conversation.map((t,r)=>e.createElement("p",{className:"cloud-message",key:r},e.createElement("strong",null,t.role==="user"?"Inspector":"Evidence Assistant",": "),t.question||t.answer)):e.createElement("p",{className:"caption"},"No conversation was included when this inspection was shared."),e.createElement("h3",{className:"section-gap"},"Staff review notes"),K.map(t=>e.createElement("div",{className:"cloud-message",key:t.id},e.createElement("strong",null,S[t.author_id]||"Staff member"),e.createElement("p",null,t.body),e.createElement("small",null,new Date(t.created_at).toLocaleString()))),!s.archived_at&&e.createElement("form",{className:"question-form",onSubmit:t=>{t.preventDefault(),i(async()=>{const r=await d(),{error:a}=await r.from("staff_notes").insert({inspection_id:s.id,author_id:c.id,body:k.trim()});if(a)throw a;z(""),await j(s)})}},e.createElement("input",{"aria-label":"Staff review note",maxLength:2e3,placeholder:"Add a review note for your colleagues…",value:k,onChange:t=>z(t.target.value)}),e.createElement("button",{className:"primary",disabled:o||!k.trim()},e.createElement(ce,{size:16})," Add note")))):e.createElement("section",{className:"card cloud-setup"},e.createElement("div",{className:"setup-icon"},e.createElement(_,{size:32})),e.createElement("span",{className:"eyebrow"},"TEAM WORKSPACE"),e.createElement("h2",null,"One shared view of inspection."),e.createElement("p",null,"The staff workspace is ready to connect to your own Supabase project. No cloud project or account has been created for you."),e.createElement("div",{className:"setup-grid"},[["01","Create a free project","Use your Supabase account and select an eligible Free plan."],["02","Set up staff access","Run the supplied schema, add your developer account and invite colleagues."],["03","Connect this dashboard","Add the project URL and publishable key to config.js, then reload."]].map(([t,r,a])=>e.createElement("div",{key:t},e.createElement("b",null,t),e.createElement("h3",null,r),e.createElement("p",null,a)))),e.createElement("a",{className:"primary",href:"https://supabase.com/dashboard",target:"_blank",rel:"noreferrer"},"Open Supabase ",e.createElement(re,{size:16})),e.createElement("p",{className:"caption"},"Setup files: deployment/SUPABASE_SETUP.md and deployment/supabase.sql. Never place a service-role key in the browser. Local inspection works without cloud setup."))}export{me as default};

frontend/dist/index.html

@@ -1,3 +1,3 @@
-<!doctype html><html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width,initial-scale=1.0"/><meta name="theme-color" content="#132e32"/><meta name="description" content="Local visual anomaly inspection with traceable evidence."/><title>DefectRAG · Inspection intelligence</title><link rel="icon" type="image/svg+xml" href="./logo.svg"><script src="./config.js"></script>  <script type="module" crossorigin src="./assets/index-B1eq_NAw.js"></script>
+<!doctype html><html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width,initial-scale=1.0"/><meta name="theme-color" content="#132e32"/><meta name="description" content="Local visual anomaly inspection with traceable evidence."/><title>DefectRAG · Inspection intelligence</title><link rel="icon" type="image/svg+xml" href="./logo.svg"><script src="./config.js"></script>  <script type="module" crossorigin src="./assets/index-BdEpy7cy.js"></script>
   <link rel="stylesheet" crossorigin href="./assets/index-Bn4HF2vD.css">
 </head><body><div id="root"></div></body></html>

results/sensitive_deployment_evaluation.json

@@ -0,0 +1,710 @@
+{
+  "method": "AnomalyDINO-inspired DINOv2 ViT-S/14; custom full-data adaptation",
+  "profile": "dinov2_highres_v1",
+  "protocol": "Official VisA test assignments; same frozen DINOv2 operational banks. Threshold is the fixed linear 95th percentile of the existing content-grouped held-out training-normal scores. All categories use the same quantile; no test-label optimization. Retrospective development evaluation, not independent validation.",
+  "encoder_sha256": "ae1e99fcefd534ed978cdeb8326f08030c96e28b7a81ffcbc98a857c84d14be1",
+  "device": "cuda",
+  "categories": {
+    "pcb1": {
+      "category": "pcb1",
+      "available": true,
+      "model_id": "dinov2-highres-pcb1-v1-q95-v1",
+      "method": "AnomalyDINO-inspired DINOv2 ViT-S/14; custom full-data adaptation",
+      "profile": "dinov2_highres_v1",
+      "encoder_sha256": "ae1e99fcefd534ed978cdeb8326f08030c96e28b7a81ffcbc98a857c84d14be1",
+      "bank_sha256": "14e71cb6285f22e3d12d2b0d6357c552a26685a8f03a9b626a3e8999e8a89c65",
+      "threshold": 0.1414354294538498,
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