{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002501176,0.0001271987,0.00008140179,0.00003152728,0.00005778427,0.00006450393,0.0002138782,0.00004807216,0.002139767],"category_scores_gemma":[0.00001203822,0.00008391822,0.0000402251,0.0000561173,0.0001683772,0.0001867032,0.0002255122,0.0001762968,0.0006129829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196558,"about_ca_system_score_gemma":0.000004386687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000903372,"about_ca_topic_score_gemma":0.00001707446,"domain_scores_codex":[0.9989024,0.00003741112,0.0001676821,0.0003273276,0.0003974311,0.000167726],"domain_scores_gemma":[0.9996958,0.00008574891,0.00002274403,0.0001509089,7.523689e-7,0.00004409035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007726092,0.0003529288,0.4724837,0.0000347011,0.0003340126,0.0006693029,0.004356096,0.00846801,0.2141632,0.004629129,0.0279892,0.2664425],"study_design_scores_gemma":[0.0002984262,0.0001085594,0.8966153,0.0000580894,0.00001337724,0.00004428934,0.00003502183,0.006138125,0.001147716,0.000866534,0.09449435,0.0001801585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819492,0.003359475,0.0002720833,0.002516631,0.0005996331,0.0003356347,0.00002577807,0.00003405042,0.01090752],"genre_scores_gemma":[0.9926625,0.0006997535,0.0002830727,0.0001015333,0.000109161,0.00004690574,0.00001163865,0.00001492741,0.006070433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4241317,"threshold_uncertainty_score":0.9987724,"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."}}