{"id":"W4384699673","doi":"10.1016/j.scitotenv.2023.165661","title":"Algal organic matter inhibits methylmercury photodegradation in eutrophic lake water: A dynamic study","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Methylmercury; Eutrophication; Organic matter; Environmental chemistry; Environmental science; Photodegradation; Natural organic matter; Chemistry; Environmental engineering; Ecology; Water treatment; Nutrient; Biology; Bioaccumulation","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":[0.0002613081,0.0001852056,0.0002198867,0.0001882795,0.0003030809,0.0003310037,0.000217572,0.0002835763,0.001549761],"category_scores_gemma":[0.0003886951,0.0001248792,0.000250329,0.0002379913,0.0003148204,0.0003030864,0.0003454865,0.0002332708,0.0001931671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004834413,"about_ca_system_score_gemma":0.000888977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001317,"about_ca_topic_score_gemma":0.01380357,"domain_scores_codex":[0.99989,0.00001991742,0.000007886606,0.00001911742,0.00002338568,0.00003971631],"domain_scores_gemma":[0.9998019,0.0000734365,0.00002771603,0.00001655088,0.00004069744,0.0000397246],"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":[0.003209488,0.0002944139,0.005128873,0.0001320778,0.00005130164,0.0001058746,0.0001353831,0.0006113446,0.9821097,0.0001985165,0.0001260772,0.007896967],"study_design_scores_gemma":[0.0001555826,0.003740622,0.09014188,0.00001471724,0.00009638045,0.00008491847,0.0003022036,0.001999747,0.8997881,0.0001362445,0.003526336,0.00001334141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984704,0.000287446,0.000121161,0.00003010322,0.000006156323,0.000006921437,0.00006019309,0.000005215991,0.001012348],"genre_scores_gemma":[0.9971876,0.0003167611,0.0001859455,0.00002802364,0.000005842156,0.000006394997,0.0001210453,0.000004979996,0.002143551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001317,"threshold_uncertainty_score":0.01990974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138758116198066,"score_gpt":0.2367335833420641,"score_spread":0.2253460021800835,"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."}}