{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002488174,0.0004256023,0.0005914887,0.002578385,0.0009178542,0.0008837323,0.001006904,0.00053014,0.003409134],"category_scores_gemma":[0.005986314,0.000123757,0.0009902659,0.002581456,0.00116291,0.0006655146,0.0008794197,0.0005815748,0.0001376124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160391,"about_ca_system_score_gemma":0.001161386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1504384,"about_ca_topic_score_gemma":0.1739796,"domain_scores_codex":[0.9984347,0.0009961339,0.0000554997,0.0001914656,0.0001262096,0.000196056],"domain_scores_gemma":[0.9961342,0.002367958,0.0006584065,0.0003665796,0.0001843384,0.0002885261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008228672,0.00004156406,0.9900339,0.00003008263,0.0002877599,0.0002169965,0.00067944,0.0006982864,0.0003773349,0.001228492,0.00009313224,0.006230696],"study_design_scores_gemma":[0.000002276511,0.0001229979,0.9951407,0.00001787332,0.00008026916,0.00009740861,0.0007961097,0.00251627,0.000111427,0.0006459799,0.0004598373,0.000008893306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934219,0.000632177,0.00363664,0.0001734807,0.00001037289,0.00002508919,0.0006434168,0.00001495768,0.001442091],"genre_scores_gemma":[0.997762,0.0001808477,0.001272169,0.00002803007,0.000006452809,0.000025089,0.0002202368,0.000002926173,0.0005022363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1504384,"threshold_uncertainty_score":0.2991254,"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."}}