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{
"run_date": "2026-03-01",
"backend_url": "https://callshield.onrender.com",
"model": "mistral-large-latest",
"total_scenarios": 25,
"binary_accuracy": "25/25",
"binary_accuracy_pct": 1.0,
"precision": 1.0,
"recall": 1.0,
"specificity": 1.0,
"f1": 1.0,
"exact_match": "22/25",
"hard_cases_correct": "3/3",
"confusion_matrix": {
"TP": 15,
"FN": 0,
"FP": 0,
"TN": 10
},
"results": [
{"id": "S01", "category": "IRS Arrest Threat", "expected": "SCAM", "score": 0.98, "verdict": "SCAM", "binary_match": true, "exact_match": true},
{"id": "S02", "category": "Tech Support Virus Alert", "expected": "SCAM", "score": 0.95, "verdict": "SCAM", "binary_match": true, "exact_match": true},
{"id": "S03", "category": "Medicare Robocall", "expected": "LIKELY_SCAM", "score": 0.80, "verdict": "LIKELY_SCAM", "binary_match": true, "exact_match": true},
{"id": "S04", "category": "Auto Warranty Robocall", "expected": "LIKELY_SCAM", "score": 0.80, "verdict": "LIKELY_SCAM", "binary_match": true, "exact_match": true},
{"id": "S05", "category": "Grandparent Scam", "expected": "SCAM", "score": 0.90, "verdict": "SCAM", "binary_match": true, "exact_match": true},
{"id": "S06", "category": "Romance Scam", "expected": "LIKELY_SCAM", "score": 0.85, "verdict": "LIKELY_SCAM", "binary_match": true, "exact_match": true},
{"id": "S07", "category": "Fake Bank Fraud Dept", "expected": "SCAM", "score": 0.85, "verdict": "SCAM", "binary_match": true, "exact_match": true},
{"id": "S08", "category": "Lottery Winner", "expected": "SCAM", "score": 0.95, "verdict": "SCAM", "binary_match": true, "exact_match": true},
{"id": "S09", "category": "Debt Threats Arrest", "expected": "LIKELY_SCAM", "score": 0.90, "verdict": "LIKELY_SCAM", "binary_match": true, "exact_match": true},
{"id": "S10", "category": "Crypto Guaranteed Returns", "expected": "LIKELY_SCAM", "score": 0.90, "verdict": "LIKELY_SCAM", "binary_match": true, "exact_match": true},
{"id": "L01", "category": "Friend Call", "expected": "SAFE", "score": 0.00, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L02", "category": "Meeting Scheduling", "expected": "SAFE", "score": 0.00, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L03", "category": "Doctor Reminder IVR", "expected": "SAFE", "score": 0.10, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L04", "category": "BBQ Invitation", "expected": "SAFE", "score": 0.00, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L05", "category": "Customer Service Callback", "expected": "SAFE", "score": 0.10, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L06", "category": "Angry Customer Complaint", "expected": "SAFE", "score": 0.10, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L07", "category": "Parent Dinner Plans", "expected": "SAFE", "score": 0.00, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L08", "category": "Job Interview Scheduling", "expected": "SAFE", "score": 0.05, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L09", "category": "Legit Bank Fraud Alert", "expected": "SAFE", "score": 0.15, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "L10", "category": "Friend Voicemail", "expected": "SAFE", "score": 0.00, "verdict": "SAFE", "binary_match": true, "exact_match": true},
{"id": "A01", "category": "Polite IRS Gift Card", "expected": "SCAM", "score": 0.95, "verdict": "SCAM", "binary_match": true, "exact_match": true},
{"id": "A02", "category": "Hedged Crypto Pitch", "expected": "LIKELY_SCAM", "score": 0.80, "verdict": "LIKELY_SCAM", "binary_match": true, "exact_match": true},
{"id": "A03", "category": "Certified Tech Support", "expected": "SCAM", "score": 0.90, "verdict": "SCAM", "binary_match": true, "exact_match": true},
{"id": "A04", "category": "FDIC Bank Examiner", "expected": "SCAM", "score": 0.92, "verdict": "SCAM", "binary_match": true, "exact_match": true},
{"id": "A05", "category": "Romance to Investment", "expected": "LIKELY_SCAM", "score": 0.85, "verdict": "LIKELY_SCAM", "binary_match": true, "exact_match": true}
],
"notes": "A01-A05 are adversarial scenarios using evasive framing (polite tone, hedged language, false credentials) while retaining core scam signals. All 5 correctly classified at 25/25 binary accuracy.",
"reproduce": "python scripts/run_evaluation.py --url https://callshield.onrender.com"
}