{"id":"W3162233102","doi":"10.1002/etc.5121","title":"Methylmercury Measurements in Dried Blood Spots from Electronic Waste Workers Sampled from Agbogbloshie, Ghana","year":2021,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ste. Anne's Hospital","funders":"Fogarty International Center; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Methylmercury; Biomonitoring; Dried blood; Whole blood; Environmental chemistry; Contamination; Environmental science; Dried blood spot; Chemistry; Medicine; Bioaccumulation; Surgery; Biology; Ecology; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003890794,0.0004463505,0.0002425381,0.0006942939,0.0005373447,0.000647733,0.0002382367,0.0004726113,0.00157446],"category_scores_gemma":[0.0007529958,0.0002535271,0.0001427054,0.0008561927,0.0004505773,0.00016074,0.0002574027,0.0002178057,0.0006354813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806302,"about_ca_system_score_gemma":0.0002457399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007875078,"about_ca_topic_score_gemma":0.01167199,"domain_scores_codex":[0.999619,0.0001130242,0.00002879218,0.00008460748,0.0001202027,0.0000342092],"domain_scores_gemma":[0.999697,0.00005782966,0.0000998421,0.0000203875,0.0001044309,0.00002053655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007057786,0.0002530453,0.6896546,0.0002500584,0.00008617417,0.001191938,0.002816186,0.0001741321,0.2783461,0.00008639092,0.0008061036,0.02562953],"study_design_scores_gemma":[0.00003030214,0.001004195,0.9347239,0.00008055301,0.00007546278,0.002421465,0.003843417,0.0004380638,0.05243404,0.0001285263,0.004801063,0.00001907077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965675,0.0003602651,0.001124348,0.00007771065,0.00001462874,0.0000496442,0.000712293,0.00002183068,0.001071805],"genre_scores_gemma":[0.9923412,0.0004865146,0.003081857,0.0001816633,0.00001557019,0.00008291398,0.0008079398,0.00001379122,0.002988469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007875078,"threshold_uncertainty_score":0.0156585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488866767357897,"score_gpt":0.22863701686725,"score_spread":0.2137483491936711,"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."}}