{"id":"W2058328725","doi":"10.1016/j.jhazmat.2015.03.051","title":"Effects of rice residue incorporation on the speciation, potential bioavailability and risk of mercury in a contaminated paddy soil","year":2015,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Ministry of Education of the People's Republic of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Mercury (programming language); Environmental chemistry; Methylmercury; Bioavailability; Chemistry; Soil water; Straw; Organic matter; Contamination; Agronomy; Environmental science; Bioaccumulation; Soil science; Ecology; Inorganic 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":[0.0002229187,0.0002769677,0.000233314,0.0001985741,0.0002124103,0.0003873766,0.0002789853,0.0003646903,0.001225053],"category_scores_gemma":[0.0003983532,0.0002029904,0.0002610897,0.0001765907,0.0003066349,0.0001767741,0.0002257801,0.0003229195,0.0002227736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349217,"about_ca_system_score_gemma":0.0004415167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004874293,"about_ca_topic_score_gemma":0.004663513,"domain_scores_codex":[0.9998041,0.00004194575,0.00001993903,0.00005195955,0.00003125246,0.00005093066],"domain_scores_gemma":[0.999685,0.000102533,0.00005718621,0.00002585287,0.0000668577,0.00006254054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007570509,0.0002226135,0.003731502,0.00009483884,0.00006324869,0.0001643959,0.0001010235,0.0006685291,0.9837128,0.00007463028,0.00003782025,0.003558216],"study_design_scores_gemma":[0.00004201984,0.003337458,0.01425271,0.000007933328,0.0001058007,0.0001001668,0.0001187329,0.001253893,0.9799882,0.00004450875,0.0007306201,0.00001786581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995162,0.00006221342,0.0001042736,0.000006374026,0.000003228869,0.000003572049,0.000052912,0.00000577134,0.0002453938],"genre_scores_gemma":[0.9984875,0.00007933646,0.0003200734,0.00001183489,0.000001577589,0.000003879635,0.00006334241,0.000004260539,0.001028318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004874293,"threshold_uncertainty_score":0.009691834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070267695155606,"score_gpt":0.2225709417689335,"score_spread":0.2118682648173774,"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."}}