{"id":"W4414714374","doi":"10.1016/j.cjca.2025.08.210","title":"P061 CLINICAL EVALUATION OF SPICY-AI IN A RAPID ACCESS CHEST PAIN CLINIC: A COMPARATIVE VALIDATION STUDY OF A NOVEL, LOCALLY DEPLOYED AI MODEL VERSUS PHYSICIANS AND GPT-4O","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chest pain; Documentation; MEDLINE; Patient safety; Pain assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005530272,0.0006601973,0.0006218223,0.0005373473,0.0005781279,0.001179367,0.0007394419,0.0008282744,0.003807305],"category_scores_gemma":[0.01155358,0.0002295675,0.0007033395,0.0004617447,0.0009129416,0.001146045,0.0006045498,0.001069468,0.0012635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009047441,"about_ca_system_score_gemma":0.0009360309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221769,"about_ca_topic_score_gemma":0.002461963,"domain_scores_codex":[0.9965785,0.001960312,0.0001892028,0.0004913744,0.0006094468,0.0001711331],"domain_scores_gemma":[0.9893137,0.004921699,0.001751683,0.000804165,0.001872378,0.001336413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2079578,0.04972175,0.6234641,0.0006842353,0.001222191,0.0003948805,0.002932105,0.002184739,0.01033266,0.0007615121,0.002779301,0.09756472],"study_design_scores_gemma":[0.01450469,0.3268175,0.6393332,0.000134956,0.0007864902,0.0005736492,0.001465525,0.008197987,0.00446293,0.0002959546,0.003302896,0.0001242985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966106,0.000126835,0.0004547035,0.00007695467,0.00004422271,0.0006813984,0.0003546078,0.00002290834,0.001627789],"genre_scores_gemma":[0.9963731,0.0001425188,0.001329676,0.0001720513,0.0000709409,0.0005385005,0.0006556267,0.00001327143,0.0007043837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005530272,"threshold_uncertainty_score":0.02924722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721474132831045,"score_gpt":0.447085144844809,"score_spread":0.2749377315617045,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}