{"id":"W4407426736","doi":"10.1016/j.currproblcancer.2025.101184","title":"Maternal age at first birth and uterine cancer risk: A comprehensive analysis using NHANES data (2003–2018)","year":2025,"lang":"en","type":"article","venue":"Current Problems in Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Medicine; Menarche; Odds ratio; National Health and Nutrition Examination Survey; Obstetrics; Confidence interval; Live birth; Logistic regression; Gynecology; Parity (physics); Uterine cancer; Demography; Pregnancy; Cancer; Population; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004476501,0.0004556257,0.0008049468,0.001433623,0.0003739452,0.0005390057,0.0006349791,0.0004827277,0.00104081],"category_scores_gemma":[0.00637838,0.00074792,0.003259168,0.003413079,0.0001769178,0.0004761527,0.0008547609,0.0006572198,0.0002990906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008666079,"about_ca_system_score_gemma":0.001310009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07573548,"about_ca_topic_score_gemma":0.06945018,"domain_scores_codex":[0.9976429,0.0008313075,0.0003952484,0.0005424452,0.0004149209,0.0001731524],"domain_scores_gemma":[0.9964982,0.0009511285,0.001127791,0.0005964192,0.0006475996,0.0001787233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002442822,0.00004322396,0.9884229,0.0002828428,0.002840703,0.0001038036,0.0001756681,0.0004234975,0.0002735583,0.00005243794,0.002189518,0.004947558],"study_design_scores_gemma":[0.00002180295,0.0000471575,0.9972046,0.00007622679,0.0006901346,0.0001167336,0.00007412269,0.0004270179,0.00008763172,0.00001837365,0.001226487,0.000009697362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408721,0.006161489,0.002796809,0.0002737742,0.00004295843,0.0002150804,0.04879839,0.00008626914,0.0007531481],"genre_scores_gemma":[0.9603229,0.001952016,0.004094176,0.0002119613,0.00004751073,0.0004187755,0.03241096,0.00003618199,0.0005055548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07573548,"threshold_uncertainty_score":0.1505893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045238014961882,"score_gpt":0.4042560238580661,"score_spread":0.2997322223618779,"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."}}