{"id":"W2529152016","doi":"10.1016/j.scitotenv.2016.09.204","title":"Dietary predictors of urinary cadmium among pregnant women and children","year":2016,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Institute of Environmental Health Sciences; Public Health Institute","keywords":"Medicine; Cohort; CADMIUM EXPOSURE; Pregnancy; Demography; Urinary system; Cohort study; Environmental health; Food frequency questionnaire; Endocrinology; Internal medicine; Biology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000927575,0.0001276096,0.0001524153,0.00002000912,0.0002064715,0.000006730171,0.0007032126,0.00003156854,0.0003589234],"category_scores_gemma":[0.00004839652,0.00005318526,0.000060093,0.0001616722,0.005437687,0.0002749643,0.001237295,0.0000738899,0.00002935884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385374,"about_ca_system_score_gemma":0.0000164663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001362727,"about_ca_topic_score_gemma":9.566282e-7,"domain_scores_codex":[0.9983191,0.00008089761,0.000245722,0.0002966561,0.0007163507,0.0003412637],"domain_scores_gemma":[0.9990442,0.00004712684,0.0001643537,0.0006094977,0.000002003415,0.000132862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005607932,0.000401994,0.1673882,0.00001011176,0.00004778645,0.000001270378,0.002701871,0.002984167,0.8150623,0.00005000344,0.00007143302,0.01122486],"study_design_scores_gemma":[0.0001389385,0.0002397334,0.9108164,0.00002358032,0.00001237219,0.00001175248,0.00004028917,0.00006323933,0.08821358,0.0003456618,0.0000143494,0.0000801255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982885,0.00005806407,0.000005159169,0.0003478326,0.00009053425,0.0002997317,0.00001411159,0.000006592006,0.0008895077],"genre_scores_gemma":[0.9985836,0.0000664484,0.00004482091,0.00001060832,0.00001682704,0.00001277137,1.000099e-7,0.000006409306,0.001258394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7434282,"threshold_uncertainty_score":0.9972689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005772185129451429,"score_gpt":0.1812126383726818,"score_spread":0.1754404532432304,"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."}}