Kalibrierte Scan-Confidence + Cross-Model-Bonus

server/lib/openai.js

@@ -243,8 +243,11 @@ const buildIdentifyPrompt = (language, mode) => {
       : '- "careInfo.temp": temperature range in Celsius (e.g. "18–24 °C"). Must always be a real plant-specific value, never "Unknown".',
     '- "botanicalName" must use accepted Latin scientific naming and must not be invented or misspelled.',
     '- If species is uncertain, prefer genus-level naming (for example: "Calathea sp.").',
-    '- "confidence" must be between 0 and 1.',
-    '- Keep confidence <= 0.55 when the image is ambiguous, blurred, or partially visible.',
+    '- "confidence" must be between 0 and 1 and reflect how certain the species identification is. Calibrate it:',
+    '  - 0.85-0.95: species clearly recognizable, distinctive features (leaf shape, flower, pattern) plainly visible.',
+    '  - 0.65-0.84: species very likely, but some distinguishing features are hidden or similar species exist.',
+    '  - 0.40-0.64: image is ambiguous, blurred, partially visible, or several species fit equally well.',
+    '  - Below 0.40: mostly guessing; prefer genus-level naming instead.',
     '- "waterIntervalDays" must be an integer between 1 and 45.',
     '- Do not include markdown, explanations, or extra keys.',
   ].join('\n');