{"id":"W4410720977","doi":"10.1111/jog.16327","title":"Premature mortality due to cervical and ovarian cancers in Japan, 2000 to 2020","year":2025,"lang":"en","type":"article","venue":"Journal of obstetrics and gynaecology research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Medicine; Cervical cancer; Years of potential life lost; Confidence interval; Ovarian cancer; Demography; Population; Mortality rate; Ovary; Gynecology; Cancer; Obstetrics; Internal medicine; Life expectancy; Environmental health","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":[0.005576602,0.0001088896,0.0003849434,0.001357519,0.0003788917,0.0001620129,0.0004388803,0.0002206046,0.0001653814],"category_scores_gemma":[0.005667691,0.00009959149,0.00005664714,0.003672432,0.000303632,0.0001359913,0.0002762502,0.0008095693,0.000004275744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008178794,"about_ca_system_score_gemma":0.0008557611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868557,"about_ca_topic_score_gemma":0.008742937,"domain_scores_codex":[0.9971499,0.0006956166,0.0004715337,0.0002896813,0.0007951098,0.0005981186],"domain_scores_gemma":[0.9971005,0.001656126,0.00009282882,0.0001785355,0.0005946782,0.0003773237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003483286,0.0001093256,0.9356084,0.00006775159,0.0000911809,0.00046443,0.005485415,0.00006993501,0.00000509741,0.006805368,0.006496684,0.04476158],"study_design_scores_gemma":[0.0005099791,0.0001958082,0.9619105,0.000017066,0.00001621085,0.000002127026,0.003388915,0.00002347649,0.000003111337,0.00304223,0.03080469,0.00008591272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699903,0.002140993,0.00002645007,0.009705344,0.001906544,0.0006169028,0.000008160226,0.000005731872,0.01559956],"genre_scores_gemma":[0.9973024,0.0009103466,0.0003304258,0.0006072306,0.00007726167,0.0000184784,3.775554e-7,0.000006120009,0.0007473287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04467567,"threshold_uncertainty_score":0.6785165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901246278922261,"score_gpt":0.3910717518597738,"score_spread":0.3520592890705512,"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."}}