Adjusted the classifier to reduce false flags

analysis/bicorder_model.json

@@ -229,9 +229,9 @@
     ]
   },
   "thresholds": {
-    "confidence_low": 0.6,
+    "confidence_low": 0.5,
     "completeness_low": 0.5,
-    "boundary_distance_low": 0.5
+    "boundary_distance_low": 0.3
   },
   "metadata": {
     "total_protocols": 406,

bicorder-app/src/bicorder-classifier.ts

@@ -122,14 +122,18 @@ export class BicorderClassifier {
     const adjustedConfidence = confidence * (0.5 + 0.5 * completeness);
 
     // Recommend form
-    // Use long form when:
-    // 1. Low confidence (< 0.6)
+    // Use long form when multiple issues are present:
+    // 1. Low confidence (< 0.5)
     // 2. Low completeness (< 50% of dimensions)
-    // 3. Near boundary (< 0.5 distance)
-    const shouldUseLongForm =
-      adjustedConfidence < this.model.thresholds.confidence_low ||
-      completeness < this.model.thresholds.completeness_low ||
-      distanceToBoundary < this.model.thresholds.boundary_distance_low;
+    // 3. Near boundary (< 0.3 distance)
+    // Require at least 2 conditions to be true
+    const issues = [
+      adjustedConfidence < this.model.thresholds.confidence_low,
+      completeness < this.model.thresholds.completeness_low,
+      distanceToBoundary < this.model.thresholds.boundary_distance_low
+    ];
+    const issueCount = issues.filter(Boolean).length;
+    const shouldUseLongForm = issueCount >= 2;
 
     const recommendedForm = shouldUseLongForm ? 'long' : 'short';