{"id":"W1882928525","doi":"10.1002/bdra.23206","title":"Validation of congenital anomaly coding in Canada's administrative databases compared with a congenital anomaly registry","year":2013,"lang":"en","type":"article","venue":"Birth Defects Research Part A Clinical and Molecular Teratology","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary; Child and Family Research Institute; Alberta Health Services; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Kappa; Medicine; Diagnosis code; Coding (social sciences); Database; Cohort; Data quality; Pediatrics; Medical emergency; Family medicine; Environmental health; Statistics; Computer science; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009448247,0.000196111,0.0006382139,0.0001420518,0.0002533172,0.00001586724,0.0002052293,0.0001639647,0.0002969291],"category_scores_gemma":[0.0007984099,0.0001517118,0.00004627551,0.0002907584,0.0005552088,0.0001234835,0.0002364675,0.001022384,0.00002981319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008164375,"about_ca_system_score_gemma":0.003052474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6439793,"about_ca_topic_score_gemma":0.807889,"domain_scores_codex":[0.9946393,0.002606458,0.001005653,0.0005416065,0.0004314077,0.0007756139],"domain_scores_gemma":[0.9962008,0.002165005,0.0002418621,0.000354305,0.0005954924,0.0004425189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006941402,0.00009714259,0.9950728,0.0004733829,0.00006996366,0.0007072069,0.0001426165,4.958804e-7,0.000730819,0.001077248,0.0005337994,0.0004004017],"study_design_scores_gemma":[0.004505204,0.001609589,0.9773353,0.0006733073,0.000029049,0.0001157752,0.003047046,0.0003385609,0.005536933,0.0002580122,0.006136521,0.0004146697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961138,0.00046401,0.00003382288,0.0007082365,0.0001345858,0.001330981,0.0002629696,0.00001549694,0.0009360613],"genre_scores_gemma":[0.9986582,0.0001134466,0.0001496198,0.0003932761,0.00005413522,0.000293297,0.0001111641,0.00001907685,0.0002077556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1639098,"threshold_uncertainty_score":0.6186629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2043940722128442,"score_gpt":0.4815316784043762,"score_spread":0.2771376061915319,"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."}}