{"id":"W4401338724","doi":"10.1093/eurheartj/ehae471","title":"Atherosclerosis quantification and cardiovascular risk: the ISCHEMIA trial","year":2024,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Innovation Council; University of British Columbia","funders":"National Heart, Lung, and Blood Institute; European Atherosclerosis Society","keywords":"Medicine; Interquartile range; Hazard ratio; Internal medicine; Cardiology; Confidence interval; Coronary artery disease; Diabetes mellitus; Myocardial infarction; Proportional hazards model; Area under the curve","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":[],"consensus_categories":[],"category_scores_codex":[0.002151216,0.00008590407,0.0001590792,0.00004883438,0.0002171801,0.0002762486,0.00004224955,0.00001810533,0.00002837634],"category_scores_gemma":[0.0005016213,0.00005331945,0.00034788,0.0001050777,0.00006661144,0.00004246572,0.00002643216,0.000510179,0.0001867636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001736541,"about_ca_system_score_gemma":0.00004803968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000629417,"about_ca_topic_score_gemma":9.273416e-8,"domain_scores_codex":[0.998969,0.0003192167,0.0001687227,0.00015617,0.0002521202,0.0001348053],"domain_scores_gemma":[0.9993546,0.0001988937,0.00002556262,0.0002612932,0.00004707378,0.0001125701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00258013,0.0002073986,0.1536694,0.00020386,0.002961531,0.0007090209,0.003616713,0.000193821,0.01655111,0.0003360877,0.6655328,0.1534381],"study_design_scores_gemma":[0.006422105,0.0001741048,0.2374166,0.0002758183,0.0008625346,0.002102497,0.0001531672,0.0002274337,0.0006741738,0.0000204759,0.7515499,0.0001212009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608988,0.02661983,0.001574645,0.003130242,0.001613187,0.0002340851,0.000007150082,0.00007619002,0.005845942],"genre_scores_gemma":[0.9948887,0.001737499,0.0002933651,0.0002132759,0.002528155,0.000001663091,0.00000177027,0.00003372948,0.0003018033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1533169,"threshold_uncertainty_score":0.2663872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055430511228576,"score_gpt":0.300336259477156,"score_spread":0.2497819543648703,"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."}}