{"id":"W2068274302","doi":"10.1016/j.acvd.2012.01.002","title":"Assessment of left ventricular ejection fraction using the wall motion score index in cardiac magnetic resonance imaging","year":2012,"lang":"en","type":"article","venue":"Archives of cardiovascular diseases","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Ejection fraction; Medicine; Cardiology; Ventricular function; Magnetic resonance imaging; Internal medicine; Cardiac function curve; Cardiac magnetic resonance; Nuclear medicine; Cardiac magnetic resonance imaging; Radiology; Heart failure","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":[0.001409574,0.0006854754,0.000546893,0.001786792,0.0002618126,0.0009498418,0.0003366966,0.0005668228,0.0008511701],"category_scores_gemma":[0.002302597,0.0002148488,0.0004216623,0.0008254774,0.0002859923,0.0007368051,0.0004458402,0.0006931462,0.0002655448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207172,"about_ca_system_score_gemma":0.0002785946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008177076,"about_ca_topic_score_gemma":0.002016543,"domain_scores_codex":[0.999402,0.0002390416,0.00009771598,0.00006183351,0.0001387676,0.00006057206],"domain_scores_gemma":[0.9991118,0.0002347318,0.0002989372,0.00004144053,0.0001552039,0.0001578111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006860044,0.0002149418,0.9776258,0.00003709311,0.0001631512,0.000195559,0.00007267993,0.0002342814,0.004933121,0.00008529687,0.0002438359,0.01550825],"study_design_scores_gemma":[0.00003922121,0.0007777318,0.9915869,0.0000226416,0.0001127067,0.000761783,0.0001258922,0.003606451,0.002497855,0.0001383968,0.0003090161,0.00002134581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938049,0.0008575053,0.001754557,0.0001073625,0.00002985881,0.0000741746,0.0002796487,0.00003304348,0.003058896],"genre_scores_gemma":[0.9969592,0.0002316587,0.001992096,0.00003737366,0.00004396593,0.00004182216,0.0002055922,0.000006073948,0.000482188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001786792,"threshold_uncertainty_score":0.007454634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023248811119183,"score_gpt":0.2514211921821782,"score_spread":0.2411887040709864,"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."}}