{"id":"W4288715353","doi":"10.1093/ehjci/jeac114","title":"Early versus late acute coronary syndrome risk patterns of coronary atherosclerotic plaque","year":2022,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"National Institutes of Health; National Research Foundation of Korea; National Research Foundation","keywords":"Medicine; Acute coronary syndrome; Cardiology; Internal medicine; Hounsfield scale; Fibrous cap; Stenosis; Vulnerable plaque; Coronary atherosclerosis; Angiology; Radiology; Coronary artery disease; Myocardial infarction; Computed tomography","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":[0.002538084,0.0003410763,0.000901036,0.0002944359,0.0005688702,0.00008878319,0.0002742427,0.00002365701,0.0001986067],"category_scores_gemma":[0.0001812785,0.0003524377,0.002233591,0.0002700658,0.0001100444,0.0002145008,0.0004440936,0.00154042,0.0001284199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002534919,"about_ca_system_score_gemma":0.0001473785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008943734,"about_ca_topic_score_gemma":1.774633e-7,"domain_scores_codex":[0.9954729,0.001536256,0.0006433118,0.0004573023,0.001295404,0.000594831],"domain_scores_gemma":[0.9980416,0.0002453901,0.0002394751,0.0009004255,0.0001888649,0.0003842608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000667793,0.0001733058,0.9441168,0.00006115789,0.005634281,0.03384558,0.0007342692,0.005451312,0.00051341,0.000003503472,0.002066486,0.006732152],"study_design_scores_gemma":[0.005709626,0.0005949406,0.9225922,0.0002069437,0.002815732,0.05408141,0.0003134209,0.0001359214,0.00004811422,0.000008450102,0.01316208,0.0003311376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860699,0.00864729,0.001204699,0.0003030411,0.002106108,0.0003472605,0.0001461753,0.0001161468,0.001059373],"genre_scores_gemma":[0.997456,0.0008588711,0.0005884574,0.0003497193,0.0003423452,0.000006562803,0.00003433154,0.00017209,0.0001915934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02152453,"threshold_uncertainty_score":0.9998928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115503289928119,"score_gpt":0.2506838048465078,"score_spread":0.2295287719472266,"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."}}