{"id":"W2086884277","doi":"10.1371/journal.pone.0047388","title":"Evaluation of a Public Health Intervention to Lower Mercury Exposure from Fish Consumption in Bermuda","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Quebec Population Health Research Network","funders":"Centre Hospitalier Universitaire de Québec; Division of Ocean Sciences; International Development Research Centre; Institut National de Santé Publique du Québec","keywords":"Methylmercury; Mercury (programming language); Fish consumption; Cord blood; Population; Reference dose; MERCURY EXPOSURE; Pregnancy; Environmental health; Medicine; Animal science; Public health; Toxicology; Umbilical cord; Fish <Actinopterygii>; Biology; Environmental chemistry; Chemistry; Fishery; Internal medicine; Risk assessment; Bioaccumulation; Biomonitoring; Immunology","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":[0.00152593,0.0007324538,0.0006130178,0.000339155,0.0008081656,0.0003579333,0.0009785364,0.001229477,0.004375485],"category_scores_gemma":[0.002360664,0.0003001616,0.0004577791,0.0002223627,0.0004096871,0.0003022916,0.0005631936,0.0004968588,0.0002488638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002944757,"about_ca_system_score_gemma":0.00474513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03499347,"about_ca_topic_score_gemma":0.05120035,"domain_scores_codex":[0.9988336,0.0006286022,0.00006553121,0.0001527633,0.00007432957,0.0002452601],"domain_scores_gemma":[0.9989055,0.0002505105,0.0002907497,0.00004511936,0.000161844,0.0003462634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1845172,0.1674546,0.08720355,0.01304102,0.001427386,0.001656892,0.004099891,0.006425515,0.04260451,0.0008193953,0.003900125,0.48685],"study_design_scores_gemma":[0.05020858,0.294284,0.6293178,0.00112468,0.001477399,0.0001935033,0.001917096,0.002672888,0.008071645,0.0001713182,0.01051139,0.00004986062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949792,0.000853242,0.0002450812,0.0005136992,0.00007569755,0.001534676,0.0001967409,0.00003800766,0.001563598],"genre_scores_gemma":[0.9906686,0.0009720925,0.003292059,0.0005847625,0.00005481331,0.002223969,0.0001780192,0.000004415027,0.002021375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03499347,"threshold_uncertainty_score":0.06957954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2033589385423507,"score_gpt":0.3345199364270781,"score_spread":0.1311609978847274,"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."}}