{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005584544,0.0002681871,0.0002245495,0.0003042693,0.0001982884,0.0003278508,0.0001899011,0.0003182179,0.001974201],"category_scores_gemma":[0.001245881,0.000137371,0.0001916455,0.0004249112,0.0001795215,0.0001688085,0.0002533761,0.0004622664,0.0001891669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320891,"about_ca_system_score_gemma":0.0001606512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432538,"about_ca_topic_score_gemma":0.00213649,"domain_scores_codex":[0.9998287,0.00005612537,0.00001489097,0.0000377559,0.00002680927,0.00003564981],"domain_scores_gemma":[0.9989236,0.0001686216,0.0005397765,0.00003277686,0.00007654775,0.000258558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001565804,0.00003262334,0.9974227,0.00001751328,0.00007033824,0.00004594122,0.000008583019,0.00006083339,0.0001163294,0.00001090081,0.00008918491,0.001968536],"study_design_scores_gemma":[0.000005667457,0.00007774778,0.9994571,0.00000813568,0.00002820628,0.0001869665,0.00001374671,0.0001183101,0.00002258812,0.00002571046,0.00005482289,0.000001132144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968509,0.001930679,0.00007355589,0.0001761337,0.000009082321,0.000006480278,0.0003100176,0.000004701311,0.0006385404],"genre_scores_gemma":[0.9989691,0.0004956825,0.00009293529,0.00003974105,0.00003078524,0.000006285021,0.0002352975,7.12442e-7,0.0001294656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001974201,"threshold_uncertainty_score":0.006604314,"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."}}