{"id":"W2199437187","doi":"10.1093/ehjci/jev286","title":"Value of mechanical dyssynchrony as assessed by radionuclide ventriculography to predict the cardiac resynchronization therapy response","year":2015,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Cardiac resynchronization therapy; Cardiology; Radionuclide ventriculography; Internal medicine; Ventricular dyssynchrony; Heart failure; Log-rank test; Radionuclide angiography; Survival analysis; Ejection fraction","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":[0.001187159,0.0002636367,0.0002165011,0.0008937347,0.0001363817,0.0004150925,0.0002421474,0.0003719341,0.0009727682],"category_scores_gemma":[0.003986215,0.00008129545,0.0001983585,0.000310253,0.0002811315,0.0003739277,0.000295851,0.0003067009,0.0001873901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165215,"about_ca_system_score_gemma":0.0001482877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003033885,"about_ca_topic_score_gemma":0.0006709171,"domain_scores_codex":[0.9995906,0.0001365653,0.0000831438,0.00007586027,0.0000734272,0.00004044731],"domain_scores_gemma":[0.9973149,0.001191216,0.0009339907,0.00008763339,0.0002503646,0.0002218408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001362399,0.00001491119,0.9956532,0.000009459815,0.0000285547,0.00004276296,0.00001495504,0.00009160496,0.0003815494,0.000006821823,0.00003262359,0.003587338],"study_design_scores_gemma":[0.0000147154,0.0002291413,0.9975896,0.000016287,0.00004517919,0.0005225075,0.00005676785,0.0009986383,0.0003392053,0.00003051711,0.0001533684,0.000004058333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982342,0.001070107,0.0002114283,0.00006042498,0.000007826404,0.000006009744,0.00008846933,0.00000355679,0.0003179556],"genre_scores_gemma":[0.999671,0.00008582581,0.0001088667,0.00001087064,0.00001748176,0.000003432724,0.00006912627,6.023352e-7,0.00003279359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001187159,"threshold_uncertainty_score":0.006278396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272588171801512,"score_gpt":0.2950827850916612,"score_spread":0.26782396791151,"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."}}