{"id":"W2109920192","doi":"10.1021/es305071v","title":"Mercury as a Global Pollutant: Sources, Pathways, and Effects","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2459,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"European Commission; New York State Energy Research and Development Authority; National Science Foundation","keywords":"Methylmercury; Mercury (programming language); Environmental science; Pollutant; Terrestrial ecosystem; Estuary; Ecosystem; Environmental chemistry; Wildlife; Environmental protection; Ecology; Bioaccumulation; Chemistry; Biology","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":[0.0004395761,0.0005971651,0.000369921,0.0009461241,0.0004752163,0.001757664,0.0003292641,0.00076626,0.001477241],"category_scores_gemma":[0.0003695946,0.0001442197,0.0003191418,0.002024264,0.000801196,0.001300388,0.001006389,0.0005126726,0.0002409763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530975,"about_ca_system_score_gemma":0.002013006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282892,"about_ca_topic_score_gemma":0.01617793,"domain_scores_codex":[0.9998007,0.00005484158,0.00001005726,0.00004740213,0.00006191242,0.00002514514],"domain_scores_gemma":[0.999866,0.00002720478,0.00003394176,0.000007443971,0.0000463594,0.00001904134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006247417,0.0002942614,0.1965997,0.007492036,0.0008260321,0.0008827884,0.001282422,0.01659924,0.02660344,0.05641463,0.01597423,0.6764065],"study_design_scores_gemma":[0.0000699796,0.001379241,0.2972383,0.003213162,0.001703114,0.001758198,0.004534583,0.007601607,0.02644109,0.1652997,0.4906189,0.0001422895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2863404,0.6059321,0.01297958,0.03374331,0.0004299207,0.0001859909,0.003865392,0.0003976621,0.05612574],"genre_scores_gemma":[0.5883546,0.3944502,0.007178898,0.002648018,0.0002962739,0.00008510949,0.0007768238,0.00003939341,0.006170764],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01282892,"threshold_uncertainty_score":0.02550846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004159804314307861,"score_gpt":0.2075232626509582,"score_spread":0.2033634583366504,"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."}}