{"id":"W2979643258","doi":"10.1016/j.cjca.2019.07.559","title":"INFLUENCE OF DISEASE PHENOTYPE ON THE ACCURACY OF EJECTION FRACTION TO ESTIMATE CONTRACTILE PERFORMANCE: ASSESSMENT BY MULTI-DIRECTIONAL 3D GLOBAL AXIS-DEPENDENT AND PRINCIPAL STRAIN ANALYSIS","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Ejection fraction; Medicine; Cardiology; Hypertrophic cardiomyopathy; Internal medicine; Dilated cardiomyopathy; Cardiomyopathy; Population; Magnetic resonance imaging; Nuclear medicine; Heart failure; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005572128,0.0008664246,0.0008217789,0.0009896703,0.000228408,0.001657496,0.0003833238,0.0008697176,0.0006005049],"category_scores_gemma":[0.012634,0.0002510905,0.0003830283,0.0005545211,0.0004617421,0.000569512,0.0005774139,0.0004840827,0.0002891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048157,"about_ca_system_score_gemma":0.0002159803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842772,"about_ca_topic_score_gemma":0.003773696,"domain_scores_codex":[0.9976203,0.001277932,0.0002643227,0.0004067428,0.0003356529,0.00009503157],"domain_scores_gemma":[0.9914815,0.004884174,0.001117305,0.001052932,0.001135197,0.0003288796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002854931,0.00009692723,0.9170746,0.0001263731,0.0005157892,0.0001425753,0.0004013903,0.003405113,0.0199232,0.0001407045,0.000441847,0.05487639],"study_design_scores_gemma":[0.0000440352,0.0003785481,0.9639653,0.0000401727,0.0002818147,0.0005277172,0.0002163125,0.03138115,0.002406475,0.000263384,0.0004496455,0.00004556628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855893,0.001162912,0.01142752,0.0001526699,0.00005111404,0.00002011987,0.000519143,0.0001018772,0.0009752385],"genre_scores_gemma":[0.9969763,0.0001799415,0.00243655,0.00003570579,0.00002317017,0.000007257012,0.0002023953,0.0000327089,0.0001060328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005572128,"threshold_uncertainty_score":0.0294686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064688987938396,"score_gpt":0.2910730064345611,"score_spread":0.2804261165551772,"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."}}