{"id":"W2140300289","doi":"10.1093/humrep/del047","title":"Maternal lead exposure and the secondary sex ratio","year":2006,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Environmental Health Sciences","keywords":"Medicine; Offspring; Sex ratio; Pregnancy; Odds ratio; Toxicant; Lead exposure; Cohort; Cohort study; Logistic regression; Lead poisoning; Obstetrics; Biology; Environmental health; Internal medicine; Toxicity; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002978894,0.0001587362,0.0001360131,0.0004470006,0.0001509819,0.0002038295,0.0001305408,0.0001216994,0.002715678],"category_scores_gemma":[0.001937926,0.00006598617,0.0001205835,0.0002606098,0.0002472312,0.0000820624,0.0001404971,0.0001678749,0.0002038001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849901,"about_ca_system_score_gemma":0.0001566824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003023574,"about_ca_topic_score_gemma":0.00275115,"domain_scores_codex":[0.9998463,0.00004612239,0.00000928335,0.00003266088,0.00003853758,0.00002710744],"domain_scores_gemma":[0.9991511,0.0001693032,0.0004727658,0.0000422087,0.00006543998,0.00009924955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001442745,0.00001503703,0.9957327,0.000007051383,0.00002130434,0.0001332117,0.00008805807,0.00003244988,0.000600546,0.00007148182,0.0001036517,0.003050292],"study_design_scores_gemma":[0.000002999564,0.0001006348,0.998724,0.000003582053,0.00000766018,0.0004933632,0.00004810643,0.00005535649,0.0002430826,0.00005342868,0.0002667404,0.000001015415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984792,0.0003743888,0.00008433605,0.00007219963,0.000003936055,0.000003285093,0.0002256864,0.000004105524,0.000752818],"genre_scores_gemma":[0.9994817,0.0001383114,0.00005972555,0.00001078763,0.000004154767,0.000001731545,0.00007965324,8.324525e-7,0.0002229865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003023574,"threshold_uncertainty_score":0.009084821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547859427898302,"score_gpt":0.2750840493489834,"score_spread":0.2496054550700004,"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."}}