{"id":"W3033916598","doi":"10.1093/crocol/otaa044","title":"Changing Patterns of Relationships Between Geographic Markers and IBD: Possible Intrusion of Obesity","year":2020,"lang":"en","type":"article","venue":"Crohn s & Colitis 360","topic":"Digestive system and related health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Obesity; Population; Vitamin D and neurology; Demography; Inflammatory bowel disease; Incidence (geometry); Latitude; Medicine; Disease; Epidemiology; Geography; Environmental health; Internal medicine","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":[0.0002339771,0.00009197461,0.0001923567,0.00007037938,0.00009629517,0.000006968011,0.00007913684,0.0001697245,0.00001187279],"category_scores_gemma":[0.00006583922,0.00008950722,0.00005674517,0.0001480621,0.00007537931,0.000004270047,0.0001025413,0.0001053957,0.000001520622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000535859,"about_ca_system_score_gemma":0.00005213339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009548243,"about_ca_topic_score_gemma":0.00001903703,"domain_scores_codex":[0.9991511,0.0001120124,0.0002576103,0.0002069436,0.00009187741,0.0001805206],"domain_scores_gemma":[0.9994918,0.00002392259,0.0001452992,0.0001319525,0.00008036593,0.0001267242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007405782,0.00001914393,0.9927535,0.0003570296,0.00005750061,0.000003437565,0.0004230154,0.000003777324,0.004501818,0.0002766282,0.00006350194,0.001466602],"study_design_scores_gemma":[0.0003393737,0.0002234356,0.9872744,0.0001376919,0.00003114249,0.000003495578,0.0004404034,0.00001266971,0.01062812,0.00005804641,0.0007579463,0.00009329305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972993,0.0007772635,0.0005475641,0.0001529526,0.00004694482,0.000210192,0.0001009218,0.00000804126,0.0008567967],"genre_scores_gemma":[0.9992778,0.0003082666,0.00008422313,0.00004782738,0.00009108817,0.000004314054,0.0000843838,0.00001127019,0.00009077387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006126304,"threshold_uncertainty_score":0.3649998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903954052448191,"score_gpt":0.24518161605397,"score_spread":0.2261420755294881,"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."}}