{"id":"W2806544235","doi":"10.2147/clep.s151339","title":"Development and validation of novel algorithms to identify patients with inflammatory bowel diseases in Israel: an epi-IIRN group study","year":2018,"lang":"en","type":"article","venue":"Clinical Epidemiology","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Medicine; Algorithm; Inflammatory bowel disease; Ulcerative colitis; Internal medicine; Diagnosis code; Cohort; Crohn's disease; Population; Disease; Inflammatory Bowel Diseases; Predictive value; Gastroenterology; Mathematics","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":[0.01317339,0.0006924061,0.0005313205,0.001310922,0.0002440792,0.00116184,0.0008741028,0.0007533367,0.0009344977],"category_scores_gemma":[0.02078409,0.0002392626,0.0005933704,0.0005163737,0.0003430481,0.000585437,0.0006959083,0.0005518952,0.0002665427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008694204,"about_ca_system_score_gemma":0.001053149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004250351,"about_ca_topic_score_gemma":0.002469167,"domain_scores_codex":[0.9969175,0.002281921,0.0001814766,0.0003126309,0.0001912569,0.0001152784],"domain_scores_gemma":[0.9902284,0.005786117,0.001050276,0.0008288447,0.001782866,0.0003235711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001466636,0.0005436645,0.9590317,0.00004828664,0.0002465416,0.00006945469,0.0002767908,0.005584877,0.0003881551,0.0003068854,0.0008666065,0.03117048],"study_design_scores_gemma":[0.00167422,0.002471608,0.6701244,0.0001804469,0.0006188916,0.0006309001,0.0009425178,0.3169062,0.002279103,0.001671984,0.00244529,0.00005452448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889206,0.0001516188,0.008584461,0.0001830255,0.00001333911,0.0003749667,0.0007465935,0.00005326463,0.0009721222],"genre_scores_gemma":[0.9801543,0.0001115827,0.01664194,0.0001712844,0.00002284235,0.0003574044,0.002253873,0.00001547748,0.0002713714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01317339,"threshold_uncertainty_score":0.06966835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609403989856148,"score_gpt":0.3981053630868878,"score_spread":0.337164964101273,"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."}}