{"id":"W2955790250","doi":"10.1016/j.maturitas.2019.06.012","title":"Reproductive history and risk of cognitive impairment in Japanese women","year":2019,"lang":"en","type":"article","venue":"Maturitas","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Narodowe Centrum Badań i Rozwoju; Japan Agency for Medical Research and Development","keywords":"Medicine; Dementia; Odds ratio; Confidence interval; Logistic regression; Montreal Cognitive Assessment; Cognition; Cognitive decline; Demography; Gerontology; Epidemiology; Cognitive impairment; Psychiatry; Internal medicine; Disease","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":[0.0002977179,0.0001006265,0.0002915687,0.0001013377,0.00001150842,0.000001866852,0.00001929292,0.00004894416,0.0003136781],"category_scores_gemma":[0.0001324853,0.00007731156,0.00000649697,0.00006076465,0.00004551399,0.00005034504,0.00002285958,0.0001332672,0.00004701958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004191784,"about_ca_system_score_gemma":0.00008381521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006929461,"about_ca_topic_score_gemma":0.00001076342,"domain_scores_codex":[0.9991565,0.00005394862,0.0001880834,0.0002460892,0.000134167,0.0002212024],"domain_scores_gemma":[0.9994282,0.00007476647,0.0001045884,0.0002091375,0.00004628829,0.0001370821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009187813,0.002622164,0.8659775,0.002098521,0.0008417895,0.0002578592,0.1076567,0.000001124252,0.003715658,0.0001010605,0.002921143,0.004618693],"study_design_scores_gemma":[0.008512312,0.005429646,0.9809831,0.0004031691,0.0001255412,0.0000485608,0.002564625,0.000006748351,0.0003980791,0.0001464079,0.001273404,0.0001084321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912212,0.003053465,6.231331e-8,0.0001268406,0.000124625,0.0008066979,0.00002720151,0.00001243837,0.004627449],"genre_scores_gemma":[0.9969493,0.000233606,0.00006182522,0.0001438602,0.00002939634,0.00003403857,0.0000121007,0.00001239744,0.002523523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1150056,"threshold_uncertainty_score":0.3434555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554817146696396,"score_gpt":0.2752564200795017,"score_spread":0.2597082486125378,"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."}}