{"id":"W3180032298","doi":"10.1097/cm9.0000000000001625","title":"Mortality and years of life lost of colorectal cancer in China, 2005–2020: findings from the national mortality surveillance system","year":2021,"lang":"en","type":"article","venue":"Chinese Medical Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Years of potential life lost; Medicine; Demography; China; Mortality rate; Colorectal cancer; Population; Environmental health; Cancer; Cause of death; Gerontology; Life expectancy; Geography; Disease; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001307881,0.0001078692,0.000451514,0.0000471192,0.00004639299,0.00001408184,0.0001035944,0.000119037,0.0004659221],"category_scores_gemma":[0.002629134,0.00007328132,0.0001058959,0.0003618633,0.0001797009,0.00004950725,0.00006422308,0.000553618,9.7508e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001415632,"about_ca_system_score_gemma":0.0009835946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196021,"about_ca_topic_score_gemma":0.005131927,"domain_scores_codex":[0.9978341,0.0001738986,0.0005410552,0.0001840389,0.001111674,0.0001552379],"domain_scores_gemma":[0.998937,0.0003203582,0.0001941965,0.00009225031,0.0002090531,0.0002472106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005535102,0.00006858195,0.9962646,0.00008174401,0.0001601606,0.0001046433,0.0003138224,0.00004588572,0.000909046,0.000009673007,0.0003213337,0.001167008],"study_design_scores_gemma":[0.001432756,0.00009381996,0.9938589,0.0003730343,0.00003141059,0.0002896938,0.0001187192,0.00340294,0.0002263818,0.00007953131,0.0000297636,0.00006310416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956042,0.002280236,0.00006691648,0.001136275,0.0004594187,0.00008969723,0.0001027671,0.000008584389,0.0002519754],"genre_scores_gemma":[0.9989225,0.0003400962,0.00003578645,0.0001297909,0.000536173,0.000004471901,0.00001039927,0.000008414365,0.00001240282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003357054,"threshold_uncertainty_score":0.510152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991122280676753,"score_gpt":0.3146066925472074,"score_spread":0.2946954697404399,"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."}}