{"id":"W4388273392","doi":"10.1016/j.jcjd.2023.10.386","title":"VALUE OF HEMODYNAMIC GAIN INDEX IN PREDICTING SINGLE VERSUS MULTIVESSEL OBSTRUCTIVE CORONARY ARTERY DISEASE IN A HIGH-RISK POPULATION","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Coronary artery disease; Internal medicine; Hemodynamics; Coronary angiography; Population; Index (typography); Fractional flow reserve; Myocardial infarction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002846442,0.0001099577,0.0003612514,0.0007256359,0.00003785073,0.00001052502,0.00007139497,0.00006453109,0.000006873223],"category_scores_gemma":[0.0004685816,0.0001140205,0.0001926827,0.0004809385,0.00005890702,0.0001598552,0.00001179522,0.0002618149,0.000001111742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858144,"about_ca_system_score_gemma":0.0004449687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002460135,"about_ca_topic_score_gemma":0.005306057,"domain_scores_codex":[0.998877,0.000134198,0.0003674024,0.000137491,0.0002023828,0.0002815365],"domain_scores_gemma":[0.9989673,0.0001419585,0.0001768801,0.0001430834,0.00006645668,0.0005043355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001262079,0.00004231975,0.9851612,0.00006846149,0.000217721,0.0003657113,0.0002785375,0.009821652,0.0002797381,0.00001304993,0.000005595216,0.003619797],"study_design_scores_gemma":[0.003278905,0.0001194599,0.9841343,0.0005528235,0.0002380301,0.00000314217,0.0003481376,0.01080115,0.0000706222,0.0003619706,0.000001551909,0.00008995011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984144,0.0009119134,0.000007698914,0.00009137213,0.0002765751,0.0001774777,0.00009685065,0.000007065353,0.00001664168],"genre_scores_gemma":[0.9997558,0.00001010504,0.00004453944,0.00001966656,0.00009231397,0.000003153421,0.0000524971,0.00001718518,0.000004738055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003529846,"threshold_uncertainty_score":0.4649622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008948631966115568,"score_gpt":0.2172081459900245,"score_spread":0.2082595140239089,"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."}}