{"id":"W4385164236","doi":"10.1101/2023.07.19.23292911","title":"Multiple Biomarkers to Predict Major Adverse Cardiovascular Events in Patients With Coronary Chronic Total Occlusions","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"National Heart, Lung, and Blood Institute; Abbott Diagnostics; AstraZeneca; Abbott Laboratories","keywords":"Medicine; Internal medicine; Cardiology; Adverse effect","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005488977,0.0004594297,0.001030472,0.0004729285,0.00009701877,0.000008421511,0.000209408,0.0003571926,0.00002926146],"category_scores_gemma":[0.0001653001,0.0003693438,0.0008956878,0.0004291503,0.00005259816,0.00004802672,0.001130547,0.0006538774,0.0001062024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006781453,"about_ca_system_score_gemma":0.0004119329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006431928,"about_ca_topic_score_gemma":0.0001411088,"domain_scores_codex":[0.9966955,0.0001193891,0.0005433974,0.001015731,0.001062616,0.0005633826],"domain_scores_gemma":[0.9980455,0.00006050932,0.0001061626,0.001254311,0.0001646693,0.0003688287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000667735,0.0001863225,0.9618803,0.0004200629,0.001655316,0.00008310755,0.0001642495,0.0334,0.0001879237,2.216239e-7,0.0002826942,0.001072116],"study_design_scores_gemma":[0.004884068,0.0003142391,0.9877759,0.002373262,0.0006308077,0.00001167672,0.00005227522,0.003079961,0.00003432473,0.000003682379,0.0004492399,0.0003905466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940791,0.000672135,0.0002502185,0.0001874928,0.001453486,0.002850293,0.0002483201,0.0001769828,0.00008201477],"genre_scores_gemma":[0.997634,0.00009782638,0.0006733227,0.00005062027,0.000277931,0.0001893975,0.0006731567,0.000140195,0.0002635714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03032004,"threshold_uncertainty_score":0.9998758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425020699748159,"score_gpt":0.2380820966929956,"score_spread":0.223831889695514,"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."}}