{"id":"W3126204414","doi":"10.1093/ehjci/jeaa356.243","title":"Pericoronary adipose tissue attenuation leads to improved prognostication beyond atherosclerotic burden and high-risk plaques in patients with suspected coronary artery disease","year":2021,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Internal medicine; Interquartile range; Coronary artery disease; Cardiology; Myocardial infarction; Hazard ratio; Surrogate endpoint; Clinical endpoint; Confidence interval; Clinical trial","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":[0.0007715465,0.0003099696,0.0005854659,0.0002108285,0.0002661602,0.0001955494,0.00009061692,0.00003059969,0.00002585401],"category_scores_gemma":[0.0002635446,0.0002849858,0.0004729503,0.0003615023,0.00007979356,0.0003776296,0.0001283986,0.0005024261,0.00003423945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130892,"about_ca_system_score_gemma":0.0001569981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002139113,"about_ca_topic_score_gemma":0.000002400654,"domain_scores_codex":[0.9968209,0.0009991206,0.0004159221,0.0006315232,0.0007118711,0.0004206421],"domain_scores_gemma":[0.9981068,0.00004941371,0.00008916434,0.0006880634,0.0003794777,0.000687059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000557493,0.0001861008,0.9218829,0.00008258886,0.001263349,0.003460406,0.0002472536,0.0004572067,0.002255172,0.000002290564,0.00007938973,0.0695258],"study_design_scores_gemma":[0.004427622,0.0002085286,0.989316,0.000451512,0.002273153,0.001343007,0.00007343599,0.0002223175,0.0002108115,0.00001031714,0.001129518,0.0003337559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847746,0.01170171,0.001432512,0.0008598655,0.0001534139,0.000897124,0.00002509506,0.00007134383,0.00008429288],"genre_scores_gemma":[0.9968209,0.0002927976,0.00154163,0.0003535513,0.0006599792,0.00001451383,0.0001657693,0.0001011108,0.00004975749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06919204,"threshold_uncertainty_score":0.9999602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007585254953976166,"score_gpt":0.218095521362296,"score_spread":0.2105102664083199,"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."}}