{"id":"W3154172588","doi":"10.1093/humrep/deab057","title":"Maternal age at birth and daughter’s fecundability","year":2021,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Royal Victoria Hospital; McGill University Health Centre; Royal Victoria Regional Health Centre","funders":"Precursory Research for Embryonic Science and Technology; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development","keywords":"Daughter; Fertility; Demography; Gynecology; Live birth; Medicine; Obstetrics; Pregnancy; Biology; Genetics; Population; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001089522,0.0001380421,0.0002417891,0.0003046464,0.0001279196,0.0002605658,0.0003960499,0.0002337308,0.004282999],"category_scores_gemma":[0.008401767,0.0001251981,0.0006730144,0.0004108072,0.0001473074,0.0003347688,0.0002535748,0.0004084763,0.00029647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162228,"about_ca_system_score_gemma":0.0002164208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005713244,"about_ca_topic_score_gemma":0.004963604,"domain_scores_codex":[0.9997293,0.00006625058,0.00003669439,0.00008301992,0.00005544456,0.00002922158],"domain_scores_gemma":[0.996471,0.001060718,0.001868229,0.0002328709,0.0001653014,0.000201806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102756,0.000007600293,0.9968029,0.00002814068,0.0000972167,0.00002199765,0.00004625635,0.00002197754,0.0000300467,0.00004569897,0.000313966,0.002481436],"study_design_scores_gemma":[0.00001497874,0.0000707399,0.9986608,0.00003905802,0.0001094529,0.000170184,0.00007115589,0.0001149826,0.00004276849,0.0000658522,0.0006371703,0.000002937666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924965,0.001732702,0.0003017393,0.0007979812,0.00003916139,0.00001715699,0.003198385,0.00001082469,0.001405566],"genre_scores_gemma":[0.997906,0.0004069245,0.0002038311,0.0001001713,0.0000323548,0.00001411829,0.000879944,0.000002933386,0.0004538068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005713244,"threshold_uncertainty_score":0.01432812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458510616219819,"score_gpt":0.3272111920648073,"score_spread":0.2813601304428254,"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."}}