{"id":"W4391231973","doi":"10.1093/ibd/izae020.067","title":"DECIPHERING THE BURDEN OF INFLAMMATORY BOWEL DISEASE LANDSCAPE (1990-2019) IN HIGH INCOME NORTH AMERICA: PROJECTIONS, TEMPORAL SHIFTS, AND A GLIMPSE BEYOND TO 2040","year":2024,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflammatory bowel disease; Medicine; Disease burden; Burden of disease; Disease; High income countries; Geography; Environmental health; Economic growth; Internal medicine; Developing country; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007220539,0.0003896759,0.0001604164,0.001083318,0.0002202006,0.0007966472,0.000390993,0.0004543317,0.001890554],"category_scores_gemma":[0.001051397,0.000157109,0.0006518395,0.001730433,0.0001724235,0.0009527266,0.0007443814,0.0007811681,0.000325731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387784,"about_ca_system_score_gemma":0.001544459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07498979,"about_ca_topic_score_gemma":0.1236958,"domain_scores_codex":[0.9998185,0.00005524291,0.00001734556,0.0000298227,0.0000369143,0.00004213217],"domain_scores_gemma":[0.9995901,0.00004149098,0.0001263811,0.000020294,0.0001587867,0.00006287864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003496782,0.0001667763,0.8412825,0.0009142145,0.0004979218,0.000866015,0.0010537,0.02039654,0.001627531,0.005417891,0.04670693,0.08072024],"study_design_scores_gemma":[0.0000222966,0.000107304,0.9426265,0.0004911095,0.0001906832,0.0004368306,0.00254842,0.02294614,0.0004141904,0.003040534,0.02713684,0.00003907299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8871683,0.01288775,0.007373536,0.01940965,0.0004593708,0.0001086995,0.06068961,0.0003765827,0.01152639],"genre_scores_gemma":[0.9724618,0.004851587,0.005160704,0.0008341931,0.0001439257,0.0001188063,0.01540751,0.00002648076,0.0009948551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07498979,"threshold_uncertainty_score":0.1491066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235618236326795,"score_gpt":0.2563790175932404,"score_spread":0.2440228352299724,"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."}}