{"id":"W2036668944","doi":"10.1016/j.jclinepi.2014.02.019","title":"Validation of international algorithms to identify adults with inflammatory bowel disease in health administrative data from Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":221,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; McMaster University; Mount Sinai Hospital; University of Ottawa; University of Toronto; Children's Hospital of Eastern Ontario; Institute for Clinical Evaluative Sciences; Ottawa Hospital; Canada Research Chairs","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Canadian Child Health Clinician Scientist Program; Institute for Clinical Evaluative Sciences; American College of Gastroenterology","keywords":"Medicine; Inflammatory bowel disease; Algorithm; Incidence (geometry); Ulcerative colitis; Disease; Crohn's disease; Cohort; Health care; Internal medicine; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01347212,0.0009889336,0.001032204,0.004253779,0.002216838,0.003804377,0.002401238,0.0007826624,0.00181256],"category_scores_gemma":[0.04101676,0.0005485946,0.001477202,0.006424352,0.0008698626,0.0009261938,0.002101308,0.001144589,0.000610165],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02283247,"about_ca_system_score_gemma":0.04634529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9680265,"about_ca_topic_score_gemma":0.9796922,"domain_scores_codex":[0.9927088,0.001577904,0.001361527,0.001012499,0.002199053,0.001140234],"domain_scores_gemma":[0.9707925,0.004772291,0.002699895,0.001734907,0.01894483,0.001055596],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003702134,0.0001081069,0.9570704,0.0001553626,0.0003174298,0.00004232813,0.0007975567,0.00254656,0.0002882089,0.000779577,0.01315082,0.02437359],"study_design_scores_gemma":[0.0001803365,0.00006174227,0.9733027,0.0002796013,0.000319284,0.0000914007,0.001295985,0.01423174,0.0005347301,0.000344244,0.009314567,0.0000437059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997545,0.0020698,0.01453245,0.001987088,0.0003032035,0.001766688,0.06286556,0.0004320992,0.01628854],"genre_scores_gemma":[0.917462,0.0008853332,0.02415306,0.0004530228,0.00005079231,0.0007405494,0.05306283,0.0001531874,0.003039315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9865279,"threshold_uncertainty_score":0.1656619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5059050188247863,"score_gpt":0.6000459891503751,"score_spread":0.09414097032558877,"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."}}