{"id":"W4403227428","doi":"10.1016/j.cjca.2024.08.043","title":"UNVEILING HIDDEN RISKS: ENHANCING DETECTION OF TOTALLY OCCLUDED ARTERIES IN NON-ST-ELEVATION MYOCARDIAL INFARCTION PATIENTS WITH ARTIFICAL INTELLIGENCE","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Milton District Hospital","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Myocardial infarction; Coronary arteries; Elevation (ballistics); Artery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003993957,0.0000927491,0.0003790593,0.0006344704,0.00004000669,0.00002014726,0.00004547425,0.0001072,0.000006532683],"category_scores_gemma":[0.0002175775,0.00007762625,0.0001319687,0.0003730274,0.00008256489,0.0001180194,0.000004094576,0.000323095,0.000003363683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002489809,"about_ca_system_score_gemma":0.0004688115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009065684,"about_ca_topic_score_gemma":0.00201642,"domain_scores_codex":[0.9990155,0.00007592165,0.0004512489,0.0001292131,0.0001455457,0.0001825746],"domain_scores_gemma":[0.9992431,0.00006991901,0.0001238769,0.0000948175,0.0002980074,0.0001702874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003810736,0.000009639863,0.7811294,0.0001536451,0.0007821806,0.0002338707,0.001385769,0.01137205,0.02348008,0.00002328588,0.00006869709,0.1809803],"study_design_scores_gemma":[0.0004623441,0.001045013,0.9858015,0.000663486,0.0003670445,0.0001857319,0.0009279228,0.001290575,0.00765217,0.0001322178,0.001325142,0.000146907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691252,0.0001787233,0.02953203,0.0001213101,0.0007540368,0.00007557632,0.000005113862,0.00000551088,0.0002025142],"genre_scores_gemma":[0.9990351,0.00002732297,0.0001676654,0.00001275317,0.0007244456,0.000002531182,0.00000783762,0.00001104867,0.00001133386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.204672,"threshold_uncertainty_score":0.3165506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542543780586157,"score_gpt":0.2584270585145234,"score_spread":0.2430016207086619,"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."}}