{"id":"W2794344743","doi":"10.1093/europace/euy015.331","title":"686Automatic AVD Programming by SyncAV Improves Electrical Synchronization in a Multicenter Study of CRT Patients","year":2018,"lang":"en","type":"article","venue":"EP Europace","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Multicenter study; Synchronization (alternating current); Internal medicine; Electrical engineering; Topology (electrical circuits)","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":[0.0007456348,0.0003250712,0.000442283,0.0001568329,0.0002578242,0.0004650244,0.0001734437,0.000374243,0.001507802],"category_scores_gemma":[0.001226335,0.0001576204,0.0003219871,0.0002106592,0.0002154727,0.0003122822,0.0001917278,0.00032468,0.0002758074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160466,"about_ca_system_score_gemma":0.0001290782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675165,"about_ca_topic_score_gemma":0.0003984578,"domain_scores_codex":[0.9996747,0.0001367645,0.00002989916,0.00008344249,0.00003655309,0.00003860482],"domain_scores_gemma":[0.9993802,0.0000972621,0.0002015804,0.00006031549,0.00005098384,0.0002095481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01827754,0.0009012804,0.9651397,0.00003446947,0.0002491957,0.0001951983,0.0001851602,0.0001466356,0.005328111,0.00002632723,0.0002920743,0.009224281],"study_design_scores_gemma":[0.0009605106,0.01136351,0.985648,0.00001234778,0.0001614631,0.0004515249,0.0001233268,0.0004206973,0.0004105709,0.00002503346,0.0004095418,0.00001336424],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999622,0.0001120861,0.0000418538,0.00001906477,0.000005485952,0.000009122494,0.00004306057,0.000001680714,0.0001456709],"genre_scores_gemma":[0.9996057,0.00004756929,0.00006684729,0.00004106655,0.00002649752,0.00001442102,0.0001270306,0.00000164878,0.00006926786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001507802,"threshold_uncertainty_score":0.005044043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005627795334043346,"score_gpt":0.265767288790451,"score_spread":0.2601394934564077,"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."}}