{"id":"W4286254473","doi":"10.1016/j.jes.2022.07.013","title":"Mercury transformation processes in nature: Critical knowledge gaps and perspectives for moving forward","year":2022,"lang":"en","type":"review","venue":"Journal of Environmental Sciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; University of Manitoba","funders":"Oak Ridge National Laboratory; National Natural Science Foundation of China; Canada Research Chairs; UT-Battelle; Battelle; U.S. Department of Energy","keywords":"Mercury (programming language); Human health; Transformation (genetics); Transformation processes; Demethylation; Ecosystem; Environmental chemistry; Environmental science; Environmental resource management; Computer science; Ecology; Chemistry; Sociology; Biology; DNA methylation; Social science","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":[0.00260761,0.0009761039,0.002536483,0.002838589,0.0004265133,0.002581546,0.001257257,0.002103102,0.004048508],"category_scores_gemma":[0.002899974,0.0003065527,0.0008451041,0.004838567,0.001002394,0.003257134,0.00129756,0.002281871,0.0009794128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656285,"about_ca_system_score_gemma":0.008636761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006089222,"about_ca_topic_score_gemma":0.01645545,"domain_scores_codex":[0.999494,0.0001128456,0.0000696767,0.00008669387,0.000179488,0.00005739971],"domain_scores_gemma":[0.9972925,0.001685872,0.0002799158,0.000060541,0.0005701097,0.0001111921],"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":[0.00009596805,0.00006381071,0.0003931779,0.05692923,0.0002959734,0.0002075711,0.00021343,0.0006061473,0.001584053,0.01199293,0.03540152,0.8922162],"study_design_scores_gemma":[0.00001775214,0.00008453184,0.001237354,0.02263184,0.0005236286,0.0004028812,0.0004646911,0.0001833552,0.0004584463,0.009307078,0.964647,0.00004138797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005434713,0.9982814,0.00007280277,0.001096394,0.0001376655,0.000001488032,0.00001579905,0.00000367352,0.0003364787],"genre_scores_gemma":[0.0004047492,0.9989879,0.0001396527,0.0002540807,0.0000964112,0.000002278533,0.00001352128,6.622688e-7,0.0001008492],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006089222,"threshold_uncertainty_score":0.01379055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05014249435892986,"score_gpt":0.3581013899198991,"score_spread":0.3079588955609693,"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."}}