{"id":"W3009053056","doi":"10.1016/j.scitotenv.2020.137647","title":"Recent advances in understanding and measurement of mercury in the environment: Terrestrial Hg cycling","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Mercury (programming language); Terrestrial ecosystem; Environmental science; Cycling; Ecosystem; Surface runoff; Terrestrial plant; Environmental chemistry; Earth science; Ecology; Geography; Chemistry; Forestry; Geology","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":[0.001814344,0.0008909162,0.001198253,0.001935126,0.0004290498,0.001298025,0.001044149,0.001372342,0.002084396],"category_scores_gemma":[0.0025272,0.0003786204,0.0006889287,0.003977469,0.0008295659,0.002175464,0.001405461,0.001582419,0.001344557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166533,"about_ca_system_score_gemma":0.001767567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006056101,"about_ca_topic_score_gemma":0.0068368,"domain_scores_codex":[0.9983834,0.00031817,0.0001078839,0.0005893882,0.0005328413,0.00006843339],"domain_scores_gemma":[0.9984612,0.0005178928,0.0002977757,0.0001082753,0.0005570896,0.00005769629],"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":[0.000182174,0.00007007729,0.01519627,0.01435212,0.0003931829,0.0002146931,0.0003682634,0.001160059,0.05768437,0.003457818,0.01235818,0.8945628],"study_design_scores_gemma":[0.00002440107,0.0004510706,0.04329355,0.002277656,0.0009563327,0.002732626,0.0004732205,0.002060417,0.05192547,0.01155692,0.8840312,0.0002171037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007467723,0.9635098,0.01703488,0.004104108,0.0009361648,0.00003566122,0.0007097847,0.0002906161,0.005911372],"genre_scores_gemma":[0.04547558,0.9166516,0.02637018,0.003824588,0.002843239,0.00009398715,0.001161103,0.0001058914,0.003473865],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006056101,"threshold_uncertainty_score":0.01204169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06437599511201293,"score_gpt":0.2565886057975267,"score_spread":0.1922126106855138,"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."}}