{"id":"W4404359353","doi":"10.1161/circ.150.suppl_1.4144431","title":"Abstract 4144431: Machine Learning to Differentiate Myocardial Infarction with Obstructive versus Non-Obstructive Coronary Artery Disease","year":2024,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Cardiology; Myocardial infarction; Coronary artery disease; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004266589,0.0008600549,0.0006155071,0.001381651,0.0003193372,0.001229677,0.0007927906,0.0007771382,0.003285886],"category_scores_gemma":[0.00914319,0.0001804842,0.0006960352,0.001288865,0.0003220058,0.0005259765,0.0006253538,0.00113446,0.001429976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009487004,"about_ca_system_score_gemma":0.001804544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137812,"about_ca_topic_score_gemma":0.01213439,"domain_scores_codex":[0.9988206,0.0004770726,0.00008951421,0.0001931189,0.00030802,0.0001116303],"domain_scores_gemma":[0.9965363,0.001992536,0.0004628469,0.0002043541,0.0006643903,0.0001395921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001298198,0.0008071088,0.6628592,0.0005240825,0.001278764,0.0002392492,0.0001288349,0.07157987,0.002430243,0.0008264302,0.0270613,0.2309667],"study_design_scores_gemma":[0.0002163352,0.00120857,0.4286748,0.0003581655,0.0005432101,0.0005719359,0.0001383156,0.5523492,0.003250401,0.003379116,0.009239668,0.00007028645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8906416,0.006992192,0.07445705,0.003646743,0.0005219789,0.0004855392,0.01260467,0.001874532,0.008775707],"genre_scores_gemma":[0.9594814,0.0009323485,0.02351756,0.0003050804,0.0002048254,0.0002071195,0.01224823,0.00008056536,0.00302284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137812,"threshold_uncertainty_score":0.02740192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121480956927663,"score_gpt":0.2377794939955054,"score_spread":0.2265646844262288,"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."}}