{"id":"W3132286763","doi":"10.1093/europace/euab025","title":"Canadian Registry of Electronic Device Outcomes: remote monitoring outcomes in the Abbott battery performance alert—a multicentre cohort","year":2021,"lang":"en","type":"article","venue":"EP Europace","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Libin Cardiovascular Institute of Alberta; University Health Network; McGill University; University of Ottawa; Royal Jubilee Hospital; Montreal Heart Institute; University of British Columbia; Université Laval; Centre Hospitalier de l’Université de Montréal; St. Michael's Hospital; University of Alberta","funders":"Abbott Canada","keywords":"Medicine; Cardiac resynchronization therapy; Cohort; Battery (electricity); Emergency medicine; Medical emergency; Internal medicine; Heart failure; Ejection fraction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009972536,0.0005550169,0.0006334411,0.001695928,0.001551362,0.0009498401,0.001182781,0.0004646013,0.001414108],"category_scores_gemma":[0.002568241,0.0004050882,0.0006701579,0.003769865,0.0004525684,0.0004350583,0.001052977,0.0006816857,0.0002277613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007465168,"about_ca_system_score_gemma":0.01312771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9124364,"about_ca_topic_score_gemma":0.93094,"domain_scores_codex":[0.9985273,0.00008965159,0.00009614635,0.0002982487,0.0006946772,0.0002939064],"domain_scores_gemma":[0.9967714,0.000146368,0.001096848,0.0002517923,0.001227723,0.0005058494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001223462,0.00002627544,0.9951321,0.00003001279,0.00007029728,0.00007631898,0.0001252458,0.00008224418,0.0001526398,0.00006176228,0.001595139,0.002525607],"study_design_scores_gemma":[0.00002552557,0.00003935909,0.9985683,0.00001724804,0.00003801972,0.0001199585,0.0001358643,0.0002400437,0.00004000229,0.00001431621,0.0007512491,0.00001015946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870799,0.0005032407,0.000178171,0.0002140598,0.00001341405,0.00009959417,0.009942705,0.00001949776,0.001949476],"genre_scores_gemma":[0.99172,0.0004252651,0.0002805402,0.00009523996,0.00001629155,0.00005275852,0.007036284,0.000008022751,0.0003656964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9124364,"threshold_uncertainty_score":0.1761586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897933693639115,"score_gpt":0.2874948802815502,"score_spread":0.268515543345159,"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."}}