{"id":"W2897127561","doi":"10.1136/bmjopen-2017-021370","title":"Validation of billing code combinations to identify cardiovascular magnetic resonance imaging scans in Ontario, Canada: a retrospective cohort study","year":2018,"lang":"en","type":"article","venue":"BMJ Open","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; St. Michael's Hospital; Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Ontario Ministry of Health and Long-Term Care; Banting and Best Diabetes Centre, University of Toronto; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Gold standard (test); Cohort; Retrospective cohort study; Magnetic resonance imaging; Diagnosis code; Referral; Emergency medicine; Internal medicine; Radiology; Family medicine; Population","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":[0.004477202,0.0006954438,0.0007510104,0.002169034,0.002918921,0.001634476,0.002308688,0.0008307821,0.001451967],"category_scores_gemma":[0.01681459,0.0009393562,0.0009575763,0.003968063,0.001666175,0.0006325283,0.001562227,0.0009188333,0.0003127023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02657871,"about_ca_system_score_gemma":0.02688727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9607933,"about_ca_topic_score_gemma":0.9706932,"domain_scores_codex":[0.9934321,0.0004724549,0.0006030376,0.001204047,0.003191188,0.001097153],"domain_scores_gemma":[0.9761369,0.002007786,0.007349921,0.001722731,0.01140519,0.001377378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005668074,0.00001164638,0.9981689,0.00002159956,0.00004441965,0.00005675517,0.0003830346,0.00004208204,0.0001046043,0.00003083269,0.0003723679,0.0007070379],"study_design_scores_gemma":[0.00001340383,0.00003479669,0.9979565,0.00004190074,0.00005135775,0.0001420208,0.0004632632,0.0004242959,0.00008578662,0.00001949181,0.0007540797,0.00001313691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923565,0.0005234515,0.0004338632,0.0002225837,0.00001685776,0.0002575467,0.004687683,0.00001717229,0.001484115],"genre_scores_gemma":[0.9967167,0.0002349195,0.0005842496,0.0001544806,0.00001182753,0.00009569025,0.001832686,0.00001252417,0.0003568441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03920674,"threshold_uncertainty_score":0.192843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03295149598619759,"score_gpt":0.348051633021437,"score_spread":0.3151001370352394,"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."}}