{"id":"W2330321450","doi":"10.1097/mlr.0000000000000274","title":"Validation of Algorithms to Identify Invasive Electrophysiology Procedures Using Administrative Data in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Medical Care","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Algorithm; Atrial fibrillation; Diagnosis code; Atrial flutter; Gold standard (test); Catheter ablation; Positive predicative value; Atrial tachycardia; Predictive value; Reimbursement; Supraventricular tachycardia; Cohort; Emergency medicine; Computer science; Internal medicine; Tachycardia; Health care; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01446734,0.0007811703,0.0006026909,0.002824839,0.001857727,0.002319238,0.002407779,0.0005945959,0.0008463028],"category_scores_gemma":[0.06078404,0.0004289862,0.0008866705,0.003725407,0.001076162,0.0006505099,0.001184827,0.0006935245,0.0002525383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0558195,"about_ca_system_score_gemma":0.08803985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9821432,"about_ca_topic_score_gemma":0.9808336,"domain_scores_codex":[0.9900879,0.001687321,0.001206872,0.001362353,0.004585309,0.001070375],"domain_scores_gemma":[0.9352845,0.01212111,0.006215495,0.002565038,0.04187211,0.001941763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003351145,0.0001592533,0.9493909,0.0002193283,0.0002277038,0.00009278802,0.0006552111,0.01097116,0.0005110374,0.0007225918,0.005631591,0.03108346],"study_design_scores_gemma":[0.0002919256,0.0001194558,0.9140965,0.0002394753,0.0001922399,0.0001306941,0.0008208662,0.07446251,0.00156424,0.0003217487,0.007707578,0.00005276477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542081,0.001100263,0.01277014,0.001489912,0.0000882111,0.00276748,0.01815633,0.000462631,0.008956965],"genre_scores_gemma":[0.9610727,0.0004694557,0.02339601,0.0003333247,0.000022699,0.0005005849,0.01333109,0.00004402612,0.0008300571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9821432,"threshold_uncertainty_score":0.4050007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104137996499548,"score_gpt":0.3990484967628209,"score_spread":0.2886346971128662,"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."}}