{"id":"W3118476658","doi":"10.1155/2021/8829122","title":"The Effects of Age, Period, and Cohort on the Mortality of Cervical Cancer in Three High‐Income Countries: Canada, Korea, and Italy","year":2021,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanxi Datong University; National Natural Science Foundation of China","keywords":"Cohort effect; Medicine; Cohort; Demography; Cervical cancer; Mortality rate; Cohort study; Cancer; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002580074,0.00007558057,0.0001463976,0.0001295536,0.0003210325,0.00009803798,0.0004121879,0.0000482267,0.00009951059],"category_scores_gemma":[0.0008138549,0.00004929666,0.00003161606,0.0005083485,0.001626447,0.0000583249,0.0002054274,0.0001937896,4.729719e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278491,"about_ca_system_score_gemma":0.0006022607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6528072,"about_ca_topic_score_gemma":0.9432156,"domain_scores_codex":[0.9969875,0.000429408,0.0002424338,0.0002203321,0.001842299,0.0002780246],"domain_scores_gemma":[0.997934,0.001254562,0.00007502397,0.0002064308,0.0004594888,0.00007045154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003549542,0.00004337902,0.8974454,0.0000795131,0.000189352,0.00005439351,0.0005828137,0.000001514097,0.0000762261,0.09956407,0.0009247262,0.001003108],"study_design_scores_gemma":[0.0002244441,0.00002386767,0.9877967,0.00008246623,0.000007085372,2.946686e-7,0.0006707253,0.00004581361,0.000222839,0.002929708,0.007945014,0.00005102718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852789,0.0006867753,0.000001733629,0.009319959,0.0006389447,0.0004388334,0.0001218186,0.000003697465,0.00350934],"genre_scores_gemma":[0.9974357,0.001947399,0.000006631409,0.00006178374,0.0001020153,0.000089349,0.000005113935,0.000004955253,0.0003469808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2904083,"threshold_uncertainty_score":0.5992711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026110458152924,"score_gpt":0.3629479064964454,"score_spread":0.3368374483435214,"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."}}