{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001405741,0.0004038147,0.00028055,0.001376706,0.0008479833,0.0007870938,0.000594958,0.000302965,0.0007463725],"category_scores_gemma":[0.002952774,0.0001554821,0.001058132,0.001991843,0.0005100165,0.0002842658,0.0008690013,0.0004486929,0.00004742593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004415679,"about_ca_system_score_gemma":0.008314556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8629186,"about_ca_topic_score_gemma":0.9017013,"domain_scores_codex":[0.9993213,0.0001177018,0.00004217806,0.0001500677,0.0001493635,0.0002193778],"domain_scores_gemma":[0.9976877,0.0003228872,0.0005601055,0.0002029996,0.0007408682,0.0004855559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001169454,0.000005916084,0.9970636,0.00001575119,0.0001193242,0.00006218589,0.0001185044,0.0001797662,0.0000641876,0.00007306501,0.0001455958,0.002035151],"study_design_scores_gemma":[0.000002974839,0.00001367784,0.9991329,0.00000877028,0.00008179451,0.00002896613,0.0001919606,0.0002775583,0.00002625969,0.0000149874,0.0002154964,0.000004649765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962677,0.001507665,0.0001423014,0.0001677399,0.00001134899,0.00001841265,0.001073429,0.000007322399,0.0008040672],"genre_scores_gemma":[0.9977491,0.0007149274,0.0001734599,0.00003762728,0.000005617042,0.000008301434,0.001034249,0.000003343448,0.0002733265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1370814,"threshold_uncertainty_score":0.2757773,"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."}}