{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002375277,0.0003046981,0.0004913257,0.00126914,0.0003192015,0.000497059,0.0004337688,0.0002251963,0.001336424],"category_scores_gemma":[0.00351872,0.0002047879,0.001406522,0.001673239,0.000181415,0.000316602,0.0005596885,0.0005845844,0.0002911618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901805,"about_ca_system_score_gemma":0.0003288262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01074663,"about_ca_topic_score_gemma":0.00768027,"domain_scores_codex":[0.9987445,0.0004850228,0.0001033524,0.0003492762,0.0002000925,0.0001176812],"domain_scores_gemma":[0.9975327,0.0008116161,0.0008199929,0.0003815986,0.0003032548,0.0001507053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008852732,0.00001445326,0.9973474,0.00001125469,0.000276766,0.00006324186,0.00007548097,0.0002507584,0.0001173982,0.00001598178,0.0001723005,0.001566512],"study_design_scores_gemma":[0.000006863237,0.0000779197,0.995666,0.000005233189,0.0001961765,0.00023397,0.0001948209,0.003048596,0.0001249326,0.00002577572,0.000415209,0.00000469661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977922,0.0001965255,0.000655886,0.00003920007,0.000006422437,0.00001192209,0.001073698,0.0000160832,0.0002079992],"genre_scores_gemma":[0.9975612,0.0000809883,0.0004624907,0.00001400107,0.000006501107,0.00001784938,0.001707448,0.000009152035,0.0001403099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01074663,"threshold_uncertainty_score":0.02136815,"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."}}