{"id":"W2080341204","doi":"10.1097/00001648-200509000-00148","title":"THE IMPACT OF MATERNAL LEAD EXPOSURE ON THE SECONDARY SEX RATIO OF OFFSPRING","year":2005,"lang":"en","type":"article","venue":"Epidemiology","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Offspring; Medicine; Pregnancy; Odds ratio; Toxicant; Lead poisoning; Cohort; Lead exposure; Logistic regression; Cohort study; Sex ratio; Obstetrics; Demography; Population; Biology; Environmental health; Internal medicine; Toxicity","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00361263,0.00007698601,0.0002348839,0.00003559407,0.0002786354,0.000006799214,0.0003688626,0.00008351906,0.0003227153],"category_scores_gemma":[0.0006852624,0.00003584066,0.0001609302,0.0001068336,0.0006109143,0.00004644946,0.00003277557,0.0001733237,0.000009160618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001566468,"about_ca_system_score_gemma":0.0001033689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634387,"about_ca_topic_score_gemma":0.002978191,"domain_scores_codex":[0.9979835,0.001164743,0.0003618626,0.0001245786,0.0001029893,0.0002623583],"domain_scores_gemma":[0.9965053,0.002961855,0.0002558687,0.0002043863,0.00003532921,0.00003730048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004370327,0.0000389643,0.5358868,0.000004917998,0.000157944,4.082504e-7,0.008194879,0.0003252583,0.0003221273,0.159888,0.009979778,0.2851573],"study_design_scores_gemma":[0.0001279695,0.0001971906,0.9599777,0.00001236554,0.000007896143,0.00000109973,0.001989752,0.0001492218,0.0004219629,0.02368517,0.01335938,0.00007024813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957884,0.0007820961,0.00006295403,0.009626221,0.0001357381,0.00007880302,0.000008870907,0.00001272679,0.03140857],"genre_scores_gemma":[0.998265,0.0003254126,0.00007770923,0.0001962768,0.0001942224,0.000005984257,7.542863e-7,0.000003174446,0.0009315078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.424091,"threshold_uncertainty_score":0.3982422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08488669984368004,"score_gpt":0.3724795204808304,"score_spread":0.2875928206371504,"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."}}