{"id":"W4390831134","doi":"10.1016/j.envint.2024.108442","title":"Fluoride exposure and thyroid hormone levels in pregnancy: The MIREC cohort","year":2024,"lang":"en","type":"article","venue":"Environment International","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Université Laval; McGill University; York University","funders":"National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Health Canada; Institut National de Santé Publique du Québec; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; York University; McMaster University","keywords":"Medicine; Quartile; Pregnancy; Fluoride; Confounding; Endocrinology; Thyroid; Hormone; Internal medicine; Urinary system; Physiology; Cohort study; Cohort; Obstetrics; Chemistry; Confidence interval; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009245917,0.0004375235,0.0004949282,0.0009303816,0.001160788,0.0006860789,0.0009797493,0.0005195244,0.001234087],"category_scores_gemma":[0.001346996,0.0004476957,0.0006802853,0.001796665,0.0002821933,0.0002690674,0.0006590947,0.0005984275,0.0001962609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003731664,"about_ca_system_score_gemma":0.004099411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8682211,"about_ca_topic_score_gemma":0.8816969,"domain_scores_codex":[0.9993305,0.00006914452,0.00003481284,0.0001923807,0.0001953676,0.0001778245],"domain_scores_gemma":[0.9993581,0.00004832791,0.0001323227,0.0001080873,0.0002265106,0.0001266389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003355599,0.00002237285,0.9952804,0.00002711143,0.0002062827,0.0001368672,0.000191399,0.00009784986,0.0005422002,0.00007440924,0.0009852336,0.002100172],"study_design_scores_gemma":[0.00001870095,0.00002428033,0.9986098,0.00001516509,0.00006749407,0.00009354561,0.0001014441,0.0001628458,0.00004527446,0.00001237021,0.0008431074,0.000006044049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904097,0.001105981,0.000342303,0.0002150418,0.00001201148,0.00005365811,0.006486456,0.00002001242,0.001354861],"genre_scores_gemma":[0.9941209,0.0006024477,0.0004737057,0.00008219314,0.000009148819,0.00004331832,0.003776358,0.000009565851,0.0008823959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8682211,"threshold_uncertainty_score":0.2651099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006707325437385516,"score_gpt":0.210994672512046,"score_spread":0.2042873470746605,"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."}}