{"id":"W2913083379","doi":"10.1016/j.jcct.2019.01.015","title":"A cross-sectional survey of coronary plaque composition in individuals on non-statin lipid lowering drug therapies and undergoing coronary computed tomography angiography","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"","keywords":"Medicine; Coronary artery disease; Internal medicine; Statin; Cardiology; SSS*; Propensity score matching; Intravascular ultrasound; Concomitant; Computed tomography angiography; Angiography","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":[0.002100036,0.0004240924,0.001483201,0.002797914,0.000105105,0.0001087946,0.0002197577,0.0001860011,0.00001445085],"category_scores_gemma":[0.00004565176,0.0004085402,0.002782224,0.002020081,0.0002764926,0.0002754914,0.0001042813,0.0007105867,0.000003083133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006118108,"about_ca_system_score_gemma":0.0001658441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333451,"about_ca_topic_score_gemma":0.000006947507,"domain_scores_codex":[0.9962804,0.0004774749,0.00113834,0.000474305,0.001222619,0.0004068188],"domain_scores_gemma":[0.9965728,0.001343518,0.0005579,0.0004988412,0.0007893078,0.0002376503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007179995,0.0004537523,0.9653155,0.000280374,0.007341297,0.0001699117,0.000306542,0.0238262,0.0001603383,0.00001114149,0.0002122176,0.001204676],"study_design_scores_gemma":[0.00867492,0.0008284759,0.9865447,0.0012049,0.0004084684,0.001006977,0.00007803037,0.0004401779,0.0002983529,0.0000462358,0.0001141788,0.0003545262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759244,0.01872286,0.003454737,0.00004195872,0.0009796562,0.0005847035,0.00009309958,0.00003953199,0.0001590834],"genre_scores_gemma":[0.9963186,0.0004955131,0.002657343,0.0001379663,0.0001899882,0.000005543114,0.0001372179,0.00005577716,0.000002022373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02338603,"threshold_uncertainty_score":0.9998366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069910404645968,"score_gpt":0.2456838360541224,"score_spread":0.2349847320076627,"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."}}