{"id":"W2164341882","doi":"10.1093/humrep/dem403","title":"Paternal age and adverse birth outcomes: teenager or 40+, who is at risk?","year":2008,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Institute of Population and Public Health; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Ottawa","keywords":"Paternal age; Medicine; Adverse effect; Demography; Obstetrics; Young adult; Pediatrics; Pregnancy; Gerontology; Biology; Internal medicine; Offspring; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006265172,0.0002026526,0.0003057728,0.0003933228,0.0002683933,0.0004351643,0.0001960069,0.0002914903,0.001485338],"category_scores_gemma":[0.002632111,0.0001716057,0.0003037827,0.0006760033,0.0003816206,0.0003932049,0.0002645111,0.0004222615,0.000153773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796542,"about_ca_system_score_gemma":0.0003578658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005953238,"about_ca_topic_score_gemma":0.00521503,"domain_scores_codex":[0.9997537,0.0000844454,0.00002524496,0.00005147566,0.00005029176,0.00003482732],"domain_scores_gemma":[0.9982444,0.0003091214,0.001027235,0.00004483633,0.00008521725,0.0002892523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003371803,0.000005708021,0.9992878,0.000006456806,0.00001415906,0.00004676524,0.00004125093,0.00001063843,0.00003377219,0.00001071913,0.00002713656,0.0004819856],"study_design_scores_gemma":[0.000003625062,0.00008709098,0.9986356,0.00001946087,0.0000415084,0.0006850635,0.000149055,0.00006985068,0.00003664795,0.00004900321,0.0002207576,0.000002333999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968059,0.002165057,0.0001069161,0.00021754,0.00002158768,0.000003589433,0.0002390624,0.000002452561,0.0004377882],"genre_scores_gemma":[0.9983422,0.001193588,0.00008153437,0.00004625172,0.00003281919,0.000002915298,0.0001734836,0.000001387718,0.0001257963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005953238,"threshold_uncertainty_score":0.01183718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127270154279792,"score_gpt":0.2889453133756484,"score_spread":0.2476726118328505,"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."}}