{"id":"W2998772609","doi":"10.1161/circulationaha.119.043964","title":"OUTSMART HF","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Health Canada; Foothills Medical Centre; Montreal Heart Institute; Occupational Cancer Research Centre; University of Ottawa; Queen Elizabeth II Health Sciences Centre; University of Alberta","funders":"Canadian Institutes of Health Research; Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal; Heart and Stroke Foundation of Canada; Alberta Innovates; Tekes; University of Ottawa","keywords":"Medicine; Heart failure; Internal medicine; Cardiology; Magnetic resonance imaging; Randomized controlled trial; Clinical trial; Clinical endpoint; Cardiac magnetic resonance imaging; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003741464,0.00004016987,0.00008997714,0.00002023015,0.00002465112,0.000006242516,0.00001067973,0.00003597945,0.0002631869],"category_scores_gemma":[0.00005680288,0.00003499834,0.0001267227,0.0001070042,0.000008801872,0.00003240782,0.000004911968,0.00005585494,0.000360482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001992895,"about_ca_system_score_gemma":0.00001833212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004532225,"about_ca_topic_score_gemma":2.797942e-7,"domain_scores_codex":[0.9996281,0.00001094225,0.0000735945,0.0001022991,0.0001315123,0.00005359627],"domain_scores_gemma":[0.9997649,0.000004756817,0.00001438659,0.0000911373,0.00003344171,0.00009134482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003660724,0.00001484144,0.975203,0.0000295787,0.0000761209,0.00001026651,0.0003531159,0.0002762482,0.006971472,0.0002216015,0.002825924,0.01398125],"study_design_scores_gemma":[0.0005043612,0.00001441787,0.9256229,0.000004996595,0.00006098032,0.00001634917,0.00004471939,0.002233937,0.0004114869,0.00001278397,0.07102884,0.00004417885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666911,0.0001272154,0.0192652,0.003865969,0.000304271,0.0002065604,0.000001138243,0.0001888431,0.009349641],"genre_scores_gemma":[0.9981815,0.000007506336,0.00007027607,0.001329469,0.0003105316,0.000001748249,0.0000319906,0.000007614127,0.00005940074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06820292,"threshold_uncertainty_score":0.4633387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199516765644474,"score_gpt":0.2494516331869515,"score_spread":0.2174564655305067,"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."}}