{"id":"W3106629165","doi":"10.1038/s41598-020-77082-2","title":"Parity predicts biological age acceleration in post-menopausal, but not pre-menopausal, women","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; Pennsylvania State University; University of Pennsylvania; National Institute on Aging; National Science Foundation","keywords":"Allostatic load; Pregnancy; Parity (physics); Biological age; Allostasis; Menopause; Longevity; National Health and Nutrition Examination Survey; Disease; Young adult; Medicine; Senescence; Demography; Gerontology; Biology; Physiology; Population; Environmental health; Endocrinology; Genetics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001141071,0.000174881,0.0001445008,0.0003309563,0.0001865202,0.0003644269,0.0002372305,0.0003177368,0.001207632],"category_scores_gemma":[0.004307514,0.0001621368,0.0002441839,0.0003097157,0.000232168,0.0002570567,0.0002661932,0.0003474231,0.0001886285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118362,"about_ca_system_score_gemma":0.0002676708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002861825,"about_ca_topic_score_gemma":0.004448071,"domain_scores_codex":[0.9997944,0.00009111533,0.00001649828,0.00004718651,0.00002559003,0.00002522243],"domain_scores_gemma":[0.9987722,0.0003105837,0.0005743826,0.0001351849,0.0000681254,0.000139537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000905094,0.00001949448,0.996989,0.000005751534,0.00002307693,0.00003390421,0.00008847905,0.00001689822,0.0003111408,0.00004181193,0.00008629058,0.002293767],"study_design_scores_gemma":[0.000003461731,0.00007092685,0.9992834,0.000004287864,0.00001909047,0.0001109137,0.00006798959,0.0001553754,0.000056743,0.00007206295,0.000153965,0.000001813574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985801,0.0005291826,0.0001655119,0.0001389963,0.0000154916,0.00000437734,0.0001089279,0.000004878741,0.0004526135],"genre_scores_gemma":[0.9994063,0.0001502675,0.0001436494,0.00003135954,0.000009470677,0.000004559191,0.0000620336,0.000001545051,0.0001908467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002861825,"threshold_uncertainty_score":0.006034613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619210525305986,"score_gpt":0.2492314741495623,"score_spread":0.2230393688965024,"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."}}