{"id":"W4283267578","doi":"10.14309/ajg.0000000000001884","title":"Early-Onset Colorectal Cancer Incidence, Staging, and Mortality in Canada: Implications for Population-Based Screening","year":2022,"lang":"en","type":"article","venue":"The American Journal of Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Incidence (geometry); Colorectal cancer; Rectum; Poisson regression; Cancer registry; Population; Internal medicine; Cancer; Stage (stratigraphy); Demography; Gynecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001710478,0.0003405006,0.0004280328,0.002381825,0.001629096,0.001527108,0.001309125,0.0005534695,0.002356027],"category_scores_gemma":[0.008930034,0.0002132532,0.0007016821,0.005710743,0.0006741853,0.0005845889,0.001066632,0.001092344,0.0001869058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04050971,"about_ca_system_score_gemma":0.09501642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956382,"about_ca_topic_score_gemma":0.9965577,"domain_scores_codex":[0.9984698,0.0001917922,0.00009302891,0.0001512328,0.0005822991,0.0005118184],"domain_scores_gemma":[0.9937285,0.0004906098,0.0007906424,0.0001003034,0.003472017,0.001417914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00012536,0.0000447961,0.9360015,0.0004227606,0.0001415055,0.0001306878,0.0005083802,0.000812903,0.0001383641,0.00100975,0.01743987,0.04322418],"study_design_scores_gemma":[0.00001667016,0.0000253274,0.991868,0.0004772289,0.0001246323,0.00007360707,0.000931957,0.001175443,0.00005921143,0.0004362691,0.0047915,0.00002010905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7490241,0.07239732,0.002027887,0.1028593,0.0008533784,0.0003573874,0.04467726,0.0002564489,0.02754696],"genre_scores_gemma":[0.968792,0.01991127,0.001545854,0.002820384,0.0002092057,0.000070569,0.005018362,0.000026248,0.001606183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04050971,"threshold_uncertainty_score":0.2939199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675180657549678,"score_gpt":0.2928631684991236,"score_spread":0.2761113619236268,"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."}}