{"id":"W2327271541","doi":"10.1097/mib.0000000000000153","title":"Epidemiology and Health Administrative Data","year":2014,"lang":"en","type":"letter","venue":"Inflammatory Bowel Diseases","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Ottawa","funders":"","keywords":"Epidemiology; Medicine; MEDLINE; Data science; Environmental health; Computer science; Political science; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01644093,0.0008623411,0.001792032,0.005475763,0.002702309,0.00438335,0.003239482,0.009159966,0.06039341],"category_scores_gemma":[0.1339568,0.001696953,0.001776556,0.0107525,0.000838933,0.002446608,0.003333054,0.006827226,0.04509608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004831175,"about_ca_system_score_gemma":0.02101329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05407332,"about_ca_topic_score_gemma":0.04867964,"domain_scores_codex":[0.9755363,0.007397075,0.00458945,0.002321182,0.007687572,0.002468262],"domain_scores_gemma":[0.8888394,0.04866811,0.01109579,0.01544575,0.02939481,0.006556037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006295356,0.00003739985,0.004594302,0.00008023125,0.00002113339,0.00005179615,0.00003351161,0.00006929769,0.00003373855,0.002184268,0.9842598,0.008571603],"study_design_scores_gemma":[0.0003496645,0.00005565337,0.04848655,0.0007060043,0.00006020227,0.0001514501,0.0001981543,0.001179699,0.0002527008,0.005797702,0.9426724,0.0000898118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.004606545,0.001914253,0.005809925,0.2487404,0.01809856,0.001743573,0.5536637,0.001430862,0.1639922],"genre_scores_gemma":[0.0318491,0.004267443,0.01280887,0.3246591,0.02000054,0.01134417,0.3820884,0.0009016824,0.2120807],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06039341,"threshold_uncertainty_score":0.2020361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4947430704717772,"score_gpt":0.5180211124010607,"score_spread":0.02327804192928357,"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."}}