{"id":"W2895289923","doi":"10.1289/ehp3904","title":"A State-of-the-Science Review of Mercury Biomarkers in Human Populations Worldwide between 2000 and 2018","year":2018,"lang":"en","type":"review","venue":"Environmental Health Perspectives","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fogarty International Center; European Commission; World Health Organization","keywords":"Mercury (programming language); Geography; Gold mining; Environmental health; Biology; Ecology; Environmental science; Medicine; Chemistry; Computer science","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":[0.002983934,0.001027898,0.002746542,0.01066189,0.0003972567,0.001593248,0.001257129,0.001415335,0.003231371],"category_scores_gemma":[0.008899776,0.0006102691,0.002233332,0.01193537,0.0005731636,0.001705348,0.0009778528,0.0009085269,0.0005327868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573052,"about_ca_system_score_gemma":0.006688063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004925894,"about_ca_topic_score_gemma":0.009636424,"domain_scores_codex":[0.9982551,0.0003695257,0.0006195537,0.000246903,0.0004342992,0.00007466166],"domain_scores_gemma":[0.9938797,0.003823063,0.001094631,0.00009923158,0.0009978613,0.0001055663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001362641,0.00004015319,0.001147289,0.5285352,0.001692959,0.0002232899,0.0003536913,0.0002164408,0.0008162496,0.001253041,0.01306509,0.4525203],"study_design_scores_gemma":[0.00005114024,0.0002911153,0.009887379,0.4389364,0.01542687,0.001946376,0.0005417574,0.0001317531,0.001021303,0.001394504,0.5302916,0.00007986351],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001468701,0.9993051,0.00004247856,0.0001599589,0.00006276756,0.000009673848,0.00007176188,0.000002631685,0.0001986771],"genre_scores_gemma":[0.0008870363,0.998752,0.0001111558,0.0001044979,0.00003201477,0.00001178436,0.00005246064,7.561287e-7,0.00004834108],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01066189,"threshold_uncertainty_score":0.01578069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0619038875033574,"score_gpt":0.3843254274369979,"score_spread":0.3224215399336405,"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."}}