{"id":"W2615260782","doi":"10.1553/populationyearbook2013s267","title":"Maternal age, birth order and other early-life factors: a family-level approach to exploring exceptional survival","year":2014,"lang":"en","type":"article","venue":"Vienna Yearbook of Population Research","topic":"Birth, Development, and Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Birth order; Order (exchange); Developmental psychology; Advanced maternal age; Psychology; Demography; Sociology; Pregnancy; Biology; Fetus; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001406215,0.000141607,0.0003130859,0.0005224808,0.0001402976,0.00003923667,0.0001106799,0.00009585714,0.0001289445],"category_scores_gemma":[0.0002554039,0.0001200682,0.00003802893,0.0003825472,0.00009174554,0.0001078175,0.00010075,0.0002955564,0.0000646611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007583307,"about_ca_system_score_gemma":0.0001282124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773379,"about_ca_topic_score_gemma":0.00008098508,"domain_scores_codex":[0.9976012,0.000195321,0.0003727233,0.0003593891,0.001032702,0.0004386736],"domain_scores_gemma":[0.9989309,0.00007721026,0.00006499865,0.0002513893,0.0002708469,0.0004046132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002345508,0.0001549925,0.9269308,0.000403499,0.00004153625,0.000001751838,0.002104942,0.00001305322,0.004485262,0.06232636,0.0002629033,0.003040316],"study_design_scores_gemma":[0.0007346791,0.0001701412,0.9946232,0.0001084598,0.000004594061,0.000001745446,0.0003417192,0.0002378806,0.00009154934,0.001213112,0.002356606,0.0001162495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860203,0.00003068421,0.002201537,0.0002356536,0.00009465734,0.0005198348,0.00001597273,0.00003732276,0.01084399],"genre_scores_gemma":[0.9918757,0.000212212,0.006582197,0.0001935515,0.0002849037,0.00005628482,0.00002709596,0.00004030218,0.0007277365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06769243,"threshold_uncertainty_score":0.4896238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3616768599870444,"score_gpt":0.4045676887468951,"score_spread":0.04289082875985073,"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."}}