{"id":"W3216403068","doi":"10.1161/circ.144.suppl_1.10602","title":"Abstract 10602: Baseline Clinical and Genetic Data Based Machine Learning Predictions of 1-Year Ischemic Outcomes Following Percutaneous Coronary Intervention","year":2021,"lang":"en","type":"article","venue":"Circulation","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; St. Michael's Hospital","funders":"","keywords":"Medicine; Percutaneous coronary intervention; Library science; Gerontology; Internal medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00243628,0.0004368188,0.0003786872,0.0005403269,0.0001690723,0.0005577352,0.0003561151,0.0005438575,0.002968778],"category_scores_gemma":[0.007176196,0.0001132548,0.0003067466,0.000504758,0.0002033603,0.000279562,0.0002706339,0.0004659858,0.0006494289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00022082,"about_ca_system_score_gemma":0.0003584939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067832,"about_ca_topic_score_gemma":0.0008493554,"domain_scores_codex":[0.9993887,0.000297656,0.00005286984,0.0001465501,0.0000725917,0.00004158259],"domain_scores_gemma":[0.9976369,0.001433883,0.0002999135,0.0002627458,0.0002106389,0.0001558709],"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":[0.005269241,0.000911138,0.9433609,0.00005381955,0.0003418713,0.0002047654,0.00005649084,0.01027989,0.00337107,0.0001556459,0.002883646,0.03311158],"study_design_scores_gemma":[0.0005261112,0.002247273,0.8846435,0.0000322835,0.0002446929,0.0006208168,0.00005514185,0.1059682,0.003166857,0.0009220244,0.001543061,0.00003007431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952507,0.00006723722,0.001833127,0.0001281086,0.00001466847,0.00002785546,0.002259722,0.00004221911,0.0003763609],"genre_scores_gemma":[0.9916022,0.00003822219,0.002500455,0.00003104433,0.00002683927,0.00004155129,0.005340165,0.000008355587,0.0004111048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002968778,"threshold_uncertainty_score":0.01288444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381486400412414,"score_gpt":0.3186206170530827,"score_spread":0.2804719770118413,"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."}}