{"id":"W3112547900","doi":"10.3390/ijerph17249205","title":"Predictors of Plasma Fluoride Concentrations in Children and Adolescents","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of Environmental Health Sciences; National Institutes of Health","keywords":"Fluoride; Water fluoridation; Tap water; National Health and Nutrition Examination Survey; Toothpaste; Medicine; Environmental health; Dentistry; Oral health; Demographics; Chemistry; Environmental science; Demography; Population; Environmental engineering","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":[0.0005160851,0.0002520812,0.00031823,0.0007084811,0.0003053769,0.0005833002,0.0002740452,0.0004578627,0.001491144],"category_scores_gemma":[0.002500663,0.0002894491,0.00040834,0.001217786,0.0002083446,0.0003857909,0.0002936745,0.0008700549,0.0002452215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000414201,"about_ca_system_score_gemma":0.0005573242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313358,"about_ca_topic_score_gemma":0.01969598,"domain_scores_codex":[0.999575,0.00008442829,0.00004665909,0.00009705596,0.0001217078,0.00007520409],"domain_scores_gemma":[0.9986446,0.000256531,0.0006937065,0.00004756745,0.0002072429,0.0001502547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001111089,0.000007714441,0.9993621,0.000005375866,0.000009372261,0.00001782453,0.00002710263,0.00001415197,0.00002710834,0.000007723054,0.00007449723,0.0004361725],"study_design_scores_gemma":[0.000001623283,0.00002256011,0.9993197,0.00001028754,0.00001233573,0.00011841,0.000111659,0.00007933142,0.00004856264,0.00001505409,0.0002591058,0.000001415902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961254,0.001172719,0.0001062514,0.0001368451,0.00001048959,0.000009446818,0.001720422,0.000008475256,0.0007100486],"genre_scores_gemma":[0.9981948,0.0005249524,0.0001501853,0.00003251275,0.00001166379,0.00001436966,0.0008883606,0.000004168062,0.0001789962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02313358,"threshold_uncertainty_score":0.04599786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315212171694652,"score_gpt":0.3021509465101832,"score_spread":0.2789988247932367,"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."}}