{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002438628,0.0002168346,0.0004870099,0.0000904967,0.00006494246,0.000006709688,0.0002423152,0.0002225025,0.000007804443],"category_scores_gemma":[0.003562318,0.0001862483,0.00006035541,0.0000798742,0.0003898903,0.00001609135,0.0002598492,0.0001223831,0.00001099045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002259152,"about_ca_system_score_gemma":0.0001291891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002098829,"about_ca_topic_score_gemma":0.0003193583,"domain_scores_codex":[0.9966038,0.0008439808,0.001347968,0.0007399594,0.0001280225,0.0003362976],"domain_scores_gemma":[0.9982657,0.0002704493,0.0003760154,0.0005066876,0.0002354895,0.0003456148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009336396,0.001454751,0.9941757,0.00002355616,0.00006676601,0.00000781022,0.0001124693,0.00003395904,0.0003080633,0.00007546355,0.00006928839,0.00273857],"study_design_scores_gemma":[0.002618554,0.001558871,0.9946832,0.00002570333,0.00003014779,6.612212e-7,0.000162386,0.0001004219,0.0001397071,0.00004699145,0.0004071905,0.0002261371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967667,0.00002482591,0.00219462,0.00003719417,0.0002119708,0.0007069558,0.00002912323,0.00001417179,0.00001442298],"genre_scores_gemma":[0.9924137,0.000006269603,0.006341412,0.0007017172,0.0002286214,0.00008053894,0.000190461,0.00002648952,0.00001080774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004353033,"threshold_uncertainty_score":0.7594987,"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."}}