{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005887282,0.000200131,0.0002148177,0.0007495,0.0002120715,0.0004511949,0.0002276822,0.0003422619,0.001239841],"category_scores_gemma":[0.001994584,0.0001351366,0.0002174358,0.000394403,0.0002070333,0.0003106555,0.0003359756,0.0002979684,0.0001943339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314723,"about_ca_system_score_gemma":0.0001441075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005949382,"about_ca_topic_score_gemma":0.0007515954,"domain_scores_codex":[0.9996638,0.00008124186,0.00005368699,0.00008844788,0.000060904,0.0000518634],"domain_scores_gemma":[0.9983628,0.0002999726,0.0008483607,0.00008178808,0.0001339636,0.0002730683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003497732,0.00002707908,0.9965321,0.00000763587,0.000023119,0.00008557085,0.00005095168,0.00002771051,0.001447441,0.00002540077,0.0000171151,0.001406143],"study_design_scores_gemma":[0.000005183842,0.0001244572,0.9990638,0.000003013069,0.000008149093,0.0003940051,0.00006201606,0.00012634,0.0001535659,0.00002485164,0.0000320666,0.000002644922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995022,0.0001503001,0.0001085442,0.00001167708,0.000001791532,0.000004628262,0.00006471247,0.000001928754,0.0001543231],"genre_scores_gemma":[0.9995896,0.00004296848,0.0001231412,0.00001120796,0.000009238023,0.000005066873,0.0001489324,0.00000129155,0.00006850756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001239841,"threshold_uncertainty_score":0.004147649,"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."}}