{"id":"W2981219946","doi":"10.1016/j.jelectrocard.2019.09.026","title":"Dynamic atrioventricular delay programming improves ventricular electrical synchronization as evaluated by 3D vectorcardiography","year":2019,"lang":"en","type":"article","venue":"Journal of Electrocardiology","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Western University","funders":"Biotronik; Boston Scientific Corporation; Medtronic; Abbott Laboratories","keywords":"Cardiac resynchronization therapy; Vectorcardiography; QRS complex; Cardiology; Medicine; Internal medicine; Ejection fraction; Atrioventricular block; Heart failure; Electrocardiography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007140124,0.0002512216,0.001239303,0.0005438784,0.00008919617,0.00002781624,0.00005281255,0.0002315247,0.00001162837],"category_scores_gemma":[0.0003667882,0.0002003939,0.001006413,0.001144034,0.00005366742,0.00009770347,0.00002926694,0.000459302,0.00004387527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003242613,"about_ca_system_score_gemma":0.0003253149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007455605,"about_ca_topic_score_gemma":1.762967e-7,"domain_scores_codex":[0.9976758,0.0002536391,0.0006709957,0.0002638328,0.000609793,0.0005259314],"domain_scores_gemma":[0.9982241,0.0001715335,0.000483563,0.0002374047,0.0007173598,0.0001660098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006543022,0.0007736675,0.4796439,0.0004341063,0.03604468,0.003451279,0.0004927497,0.008829896,0.3186627,0.0003178781,0.02871271,0.1160934],"study_design_scores_gemma":[0.02664324,0.03639414,0.0672328,0.0005559727,0.01312187,0.3134256,0.0004979921,0.01416807,0.01369098,0.0005511298,0.5113571,0.002361116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338776,0.04923424,0.01387176,0.0001372988,0.0004871926,0.0005721425,0.000001848015,0.00006231574,0.001755588],"genre_scores_gemma":[0.9973438,0.001666814,0.0004196442,0.0001585453,0.0002624983,0.000005845195,0.00003237733,0.00003415556,0.00007629399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4826444,"threshold_uncertainty_score":0.8171827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003411518622841198,"score_gpt":0.2561871494947252,"score_spread":0.2527756308718839,"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."}}