{"id":"W4406595797","doi":"10.1093/eurheartj/ehae827","title":"Skeletal muscle adiposity, coronary microvascular dysfunction, and adverse cardiovascular outcomes","year":2025,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institutes of Health; National Heart, Lung, and Blood Institute; Gilead Research Scholars; Gilead Sciences","keywords":"Medicine; Cardiology; Internal medicine; Myocardial infarction; Coronary artery disease; Hazard ratio; Ejection fraction; Mace; Heart failure; Coronary flow reserve; Confidence interval; Percutaneous coronary intervention","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":[0.001087,0.0002430391,0.0006057687,0.0002153249,0.0004301094,0.00007203219,0.0001067014,0.00006003929,0.00008056485],"category_scores_gemma":[0.00008071407,0.0002106504,0.001824432,0.0002113862,0.0001179332,0.0001626389,0.0001746071,0.0005565378,0.00009742679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000527234,"about_ca_system_score_gemma":0.000108423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008556828,"about_ca_topic_score_gemma":5.953955e-7,"domain_scores_codex":[0.9980732,0.0004933628,0.0003168222,0.0003205364,0.0004643423,0.0003317058],"domain_scores_gemma":[0.9987952,0.00003355001,0.00004528069,0.0006191781,0.0001156532,0.0003911613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001685215,0.0004421445,0.8857642,0.0002891571,0.01871343,0.004628707,0.0001635472,0.0001277077,0.006937908,0.0001093602,0.01670245,0.06595288],"study_design_scores_gemma":[0.002535735,0.00007392281,0.8049612,0.000132651,0.002360088,0.00425989,0.00006767913,0.000008798373,0.0001361774,0.00001416456,0.1852926,0.0001570337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576611,0.0319622,0.001643128,0.001128819,0.0006850878,0.0003327815,0.000005127627,0.0001026755,0.006479066],"genre_scores_gemma":[0.9939313,0.0007954887,0.0005933272,0.001836419,0.0004173034,0.000002223307,0.00001353423,0.00004429486,0.002366111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1685902,"threshold_uncertainty_score":0.8590075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322714812010264,"score_gpt":0.2487726340693296,"score_spread":0.235545485949227,"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."}}