{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002542757,0.0002245579,0.0003809826,0.0002009689,0.0006147358,0.000004965249,0.00007284142,0.0001888245,0.0004873703],"category_scores_gemma":[0.0002512038,0.0001597449,0.0001026048,0.0001957928,0.0005089449,0.0001175698,0.0001129869,0.0004215049,0.0001122982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008947938,"about_ca_system_score_gemma":0.00002402602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005927464,"about_ca_topic_score_gemma":0.00002135621,"domain_scores_codex":[0.9980914,0.00005645213,0.0003138597,0.001058771,0.0002244215,0.0002550746],"domain_scores_gemma":[0.9984406,0.00001370213,0.000199713,0.001168901,0.00009332802,0.00008370855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006407513,0.0002552572,0.9806678,0.0001189304,0.0002210245,0.0008722999,0.001444681,0.00000108795,0.003961524,0.00007012724,0.004173113,0.007573354],"study_design_scores_gemma":[0.001351476,0.0003596191,0.9709805,0.00009016315,0.0001307067,0.001707406,0.0001055346,0.000001918864,0.009243224,0.0003457096,0.01548995,0.000193805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995399,0.0006689178,0.00003331712,0.0009787063,0.0003351516,0.0004464618,0.000006104562,0.0003603654,0.001771999],"genre_scores_gemma":[0.8535559,0.0005542602,0.0003684225,0.0001233092,0.0003504501,0.00002681736,0.00001162194,0.00003162802,0.1449776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432056,"threshold_uncertainty_score":0.6514208,"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."}}