{"id":"W2961167129","doi":"10.1016/j.jacc.2019.05.024","title":"Cardiac MRI Endpoints in Myocardial Infarction Experimental and Clinical Trials","year":2019,"lang":"en","type":"review","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":351,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Heart, Lung, and Blood Institute; British Heart Foundation; European Regional Development Fund; Ministerio de Ciencia, Innovación y Universidades; Sociedad Española de Cardiología","keywords":"Medicine; Myocardial infarction; Clinical trial; Clinical endpoint; Cardiology; Surrogate endpoint; Magnetic resonance imaging; Internal medicine; Cardiac magnetic resonance; Infarction; Gold standard (test); Intensive care medicine; Radiology","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":[0.006347217,0.0003411444,0.0109704,0.0004345602,0.00002748476,0.000007118589,0.0002301206,0.0002625199,0.000003589369],"category_scores_gemma":[0.004962638,0.0002108735,0.004997448,0.0004176992,0.0007198384,0.00004221942,0.0001971335,0.001107024,0.000004675747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471676,"about_ca_system_score_gemma":0.001169765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216382,"about_ca_topic_score_gemma":2.532094e-7,"domain_scores_codex":[0.9912512,0.005123112,0.002682041,0.000282522,0.000399605,0.0002614756],"domain_scores_gemma":[0.9908631,0.004812749,0.003443303,0.0005281031,0.0001930352,0.0001596668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003391991,0.0003897739,0.199298,0.004693784,0.02242231,0.001118766,0.00009278944,0.00006250368,0.0001042461,0.0001310437,0.1025613,0.6657335],"study_design_scores_gemma":[0.002129597,0.001342404,0.0163676,0.003898289,0.008609272,0.004192221,0.0002841987,0.000001951246,0.000008328809,0.00001356522,0.9629186,0.0002339719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004583702,0.9880147,0.00002355465,0.0002800068,0.00504802,0.0009742224,0.0002463774,0.000004954715,0.0008244588],"genre_scores_gemma":[0.01184815,0.9851124,0.0001837312,0.0001327067,0.002600986,0.0000111753,0.000005649892,0.00004268872,0.00006246099],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8603573,"threshold_uncertainty_score":0.8599174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08530679138840974,"score_gpt":0.4420392684184207,"score_spread":0.3567324770300109,"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."}}