{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040486,0.00007633022,0.0003269721,0.0001291643,0.0001461247,0.00000569943,0.0001001779,0.0000067401,0.00001817654],"category_scores_gemma":[0.00004361987,0.00006257472,0.00005515712,0.0001983081,0.00008425965,0.00002945717,0.00003725721,0.0002760218,1.406195e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004545791,"about_ca_system_score_gemma":0.0005416846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5566635,"about_ca_topic_score_gemma":0.5910912,"domain_scores_codex":[0.9990641,0.0001697714,0.00030162,0.0001140589,0.0001527224,0.0001976885],"domain_scores_gemma":[0.9991481,0.0001457755,0.0004551013,0.00009210053,0.00008285385,0.00007607105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01760484,0.00001631814,0.9763682,0.000003669492,0.00005017366,0.000005021295,0.00006202256,0.003151093,0.00007452078,0.000001344124,0.00007350158,0.002589268],"study_design_scores_gemma":[0.0009278294,0.008652104,0.9880555,0.00001315073,0.00006793663,0.0002607934,0.0002970432,0.001616093,0.00001614315,0.00002697129,0.00003264655,0.00003380872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941798,0.000057571,0.001973278,0.003429324,0.00009974393,0.0001825555,0.00007053373,0.000004902552,0.000002324128],"genre_scores_gemma":[0.9980959,0.000007138683,0.0004517748,0.001292132,0.0000555168,0.00007899746,0.000006464853,0.000009136967,0.000002903188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03442775,"threshold_uncertainty_score":0.4462888,"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."}}