{"id":"W2946387699","doi":"10.1158/1055-9965.epi-18-1111","title":"Global Increasing Incidence of Young-Onset Colorectal Cancer Across 5 Continents: A Joinpoint Regression Analysis of 1,922,167 Cases","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Analytical Center for the Government of the Russian Federation","keywords":"Colorectal cancer; Incidence (geometry); Demography; Medicine; China; Cancer; Cancer registry; Young adult; Population; Gerontology; Geography; Environmental health; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002537995,0.0002967388,0.001505964,0.0002992326,0.00009179782,0.0000058428,0.0001541536,0.0003535295,0.000317833],"category_scores_gemma":[0.001653299,0.0002552661,0.0006810984,0.001567957,0.000359301,0.0001657988,0.0001310605,0.0001890699,0.000003255039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006925544,"about_ca_system_score_gemma":0.0003267995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02950203,"about_ca_topic_score_gemma":0.01285091,"domain_scores_codex":[0.9964291,0.0009212859,0.001205667,0.0006791151,0.0002860809,0.0004787196],"domain_scores_gemma":[0.9968596,0.0007289351,0.001409456,0.0004065699,0.0004335169,0.0001619317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01660874,0.0001036979,0.9579345,0.0002005493,0.002754423,0.000007686384,0.0001463283,0.0002635924,0.009302592,0.00001067235,0.0004859286,0.01218131],"study_design_scores_gemma":[0.001656339,0.001368503,0.9829915,0.001414008,0.002196828,0.0001046102,0.000271008,0.00486308,0.004698522,0.0001469348,0.00007558801,0.0002131508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988029,0.008318922,0.001150382,0.0004672468,0.0009115144,0.0006879299,0.0002633274,0.00006316828,0.0001084941],"genre_scores_gemma":[0.9975336,0.0009346168,0.0008666579,0.0001227193,0.0000815668,0.0001405244,0.000166887,0.00001750119,0.0001358897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02505695,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879389103605733,"score_gpt":0.3984515393022902,"score_spread":0.3596576482662328,"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."}}