{"id":"W2312746635","doi":"10.1016/j.cjca.2014.07.125","title":"RIGHT VENTRICULAR VOLUMES AND FUNCTION ASSESSED BY CARDIOVASCULAR MAGNETIC RESONANCE WITH A SEMI-AUTOMATIC THRESHOLD-BASED SEGMENTATION ALGORITHM","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Magnetic resonance imaging; Stroke volume; Ejection fraction; Tetralogy of Fallot; Papillary muscle; Cardiac magnetic resonance imaging; Nuclear medicine; Radiology; Heart disease; Heart failure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002809949,0.0006639286,0.0010801,0.002646612,0.0006457859,0.002023187,0.001032397,0.001436695,0.001709324],"category_scores_gemma":[0.003794187,0.0007546444,0.001071388,0.001197946,0.0006644591,0.0009944926,0.0008099334,0.0006783223,0.0006181367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006651481,"about_ca_system_score_gemma":0.001498985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004029423,"about_ca_topic_score_gemma":0.00549648,"domain_scores_codex":[0.9989428,0.000206457,0.0001587279,0.0002276797,0.000397326,0.00006700593],"domain_scores_gemma":[0.9987275,0.0005171617,0.0001634653,0.0001587382,0.0003765837,0.000056503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004058573,0.0004674119,0.06566874,0.0008799013,0.001056176,0.0008962149,0.001258559,0.05509816,0.2618682,0.008645843,0.004041216,0.5960611],"study_design_scores_gemma":[0.0003652576,0.0008664876,0.194023,0.0002191461,0.0009310744,0.005598996,0.0003249635,0.6691508,0.1137078,0.007541803,0.006900801,0.0003698749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3243631,0.00116558,0.6670647,0.0002005186,0.0000987881,0.0006705746,0.0009378807,0.002397391,0.003101384],"genre_scores_gemma":[0.4338319,0.0003397261,0.5628482,0.0000601715,0.00003968414,0.00036484,0.000612588,0.0004415048,0.001461486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004029423,"threshold_uncertainty_score":0.01486057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005106537062207423,"score_gpt":0.2015945678470402,"score_spread":0.1964880307848328,"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."}}