CoolFace
16 results

risk detection

ClarusC64 /atc-conflict-detection-resolution-coherence-risk-v0.1What this repo is for Detect when conflict resolution happens too late relative to detection. Signals: predicted time to conflict resolution timing separation margins vectoring altitude change This predicts near-miss risk before separation loss. tabulartext-classificationn<1K0 likes31 downloads7mo agoHugging FaceClarusC64 /clinical-quad-signal-detection-drift-ae-coding-variance-unblinding-risk-dsmb-decision-delay-v0.1 Clinical Quad: Signal Detection Drift × AE Coding Variance × Unblinding Risk × DSMB Decision Delay This dataset targets safety governance collapse. Signals weaken or shift.AE coding diverges across sites.Unblinding pressure rises.The DSMB response slows. The quad can turn a manageable safety issue into a governance failure. Variables signal_detection_drift (low | medium | high) ae_coding_variance (low | medium | high) unblinding_risk (low | medium | high)… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-signal-detection-drift-ae-coding-variance-unblinding-risk-dsmb-decision-delay-v0.1.texttabular-classificationn<1K0 likes28 downloads7mo agoHugging FaceClarusC64 /legal-expert-report-opinion-reliance-risk-detection-v0.1What this dataset does You receive agreement in principle summary term sheet or email chain summary recorded document summary payment terms release carveouts confidentiality costs and tax authority execution mismatch flags You decide coherent or incoherent Daily use stop settlement drafting mistakes prevent enforcement disputes prevent release scope errors reduce negligence exposure tabulartext-classificationn<1K0 likes21 downloads7mo agoHugging FaceClarusC64 /banking-fraud-detection-coherence-risk-v0.1What this repo is for Detect when fraud systems drift out of balance. Focus flags vs confirmed fraud false positives missed fraud Why it matters Fraud models fail slowly, then suddenly. texttext-classificationn<1K0 likes19 downloads7mo agoHugging FaceClarusC64 /clinical-iatrogenic-risk-detection-v0.1Clinical Iatrogenic Risk Detection v0.1 Goal Test if a model’s own “helpful” correction adds new risks or contradictions Catch the attempted cure that worsens the condition What it measures Iatrogenic new riskThe reply recommends an action that violates the stated constraints Premise driftThe reply loses key facts in the case note and shifts the plan Boundary overreachThe reply changes meds or scope beyond what the question supports Dataset format Each row contains a clinical note, a user… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-iatrogenic-risk-detection-v0.1.texttext-generationn<1K0 likes17 downloads8mo agoHugging FaceKalaphant /QAndA_Risk_Detectiontextn<1K0 likes16 downloads2y agoHugging Face