{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.02931539,0.0001166142,0.001161501,0.0001185343,0.000094779,0.000002282932,0.0005636775,0.000187267,0.0004098555],"category_scores_gemma":[0.06383207,0.00008395237,0.00006237917,0.00007486752,0.00007366927,0.0002216069,0.0001296522,0.001527322,0.00001343498],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055837,"about_ca_system_score_gemma":0.0106275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5413673,"about_ca_topic_score_gemma":0.8129163,"domain_scores_codex":[0.9868208,0.005202078,0.006937145,0.0002379648,0.000458053,0.000343933],"domain_scores_gemma":[0.9692108,0.02260651,0.006209773,0.0004380502,0.0004990716,0.001035771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001781025,0.00006196305,0.9715067,0.0001815129,0.00003669331,0.00000668374,0.0008423589,0.0004457592,1.6599e-7,0.0002963423,0.02189143,0.002949411],"study_design_scores_gemma":[0.001851408,0.0004774276,0.9574386,0.001514206,0.00001159218,0.000001076748,0.0003697321,0.006412035,3.813926e-7,0.0007977901,0.03105788,0.00006789337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420113,0.00004575258,0.01529686,0.03906675,0.002844319,0.0003584413,0.0001296519,0.000005444945,0.0002415073],"genre_scores_gemma":[0.9765614,0.0001481527,0.007152515,0.01472038,0.001061505,0.000009164302,0.0002602009,0.000008112279,0.00007851356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.271549,"threshold_uncertainty_score":0.9995241,"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."}}