{"id":"W4387563886","doi":"10.7189/jogh.13.04096","title":"National and subnational incidence, mortality and associated factors of colorectal cancer in China: A systematic analysis and modelling study","year":2023,"lang":"en","type":"review","venue":"Journal of Global Health","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Cancer Research UK","keywords":"Demography; Incidence (geometry); Medicine; Colorectal cancer; China; Population; Meta-analysis; Mortality rate; Environmental health; Cancer; Geography; 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":[0.00221413,0.0001903173,0.002427456,0.000516596,0.00006255818,0.00002082937,0.00004617729,0.0001278544,0.000002594581],"category_scores_gemma":[0.0004196393,0.0001405204,0.0001874072,0.001602119,0.0000401823,0.00007728083,0.00003541112,0.0003277338,6.390881e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744049,"about_ca_system_score_gemma":0.001849983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0049824,"about_ca_topic_score_gemma":0.01130062,"domain_scores_codex":[0.997179,0.0003496711,0.001340994,0.0002032834,0.0007820232,0.0001450355],"domain_scores_gemma":[0.9974502,0.0002998261,0.001722141,0.00004812944,0.0003189916,0.0001607303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005443375,0.00049805,0.8529977,0.1225756,0.008553063,0.00005073917,0.001000118,0.001288845,7.314697e-8,0.00004336028,0.00002495966,0.0124232],"study_design_scores_gemma":[0.0007856921,0.001742788,0.9492473,0.03551375,0.004075939,0.0001154322,0.0002411449,0.008068725,3.21858e-8,0.00007741011,0.00000841075,0.0001233942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5084498,0.4907708,0.00006122638,0.00001412285,0.00007418718,0.0005063989,0.0001121487,0.000005283496,0.000006028856],"genre_scores_gemma":[0.5528262,0.4470927,0.00002470987,0.000003749866,0.00002748325,0.000009934174,0.000006669359,0.000005838086,0.000002775018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09624963,"threshold_uncertainty_score":0.7531931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09573309475516399,"score_gpt":0.4443493376148309,"score_spread":0.3486162428596669,"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."}}