{"id":"W2527822101","doi":"10.1680/jenes.15.00021","title":"Photochemical aqueous mercury removal: effects of DOM and DO","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Mercury (programming language); Chemistry; Environmental chemistry; Volatilisation; Dissolved organic carbon; Oxygen; Nitrogen; Sulfur; Nitrate; Aqueous solution; Ultraviolet; Inorganic chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002881448,0.00008709529,0.0001449311,0.00005052825,0.00005241969,0.00001151327,0.0001092267,0.00002326998,0.00005142691],"category_scores_gemma":[0.000117996,0.00005463296,0.00002821782,0.00008121727,0.0006413379,0.0002734457,0.0001197697,0.00005910157,0.000002934508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006267774,"about_ca_system_score_gemma":0.000005158834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002884208,"about_ca_topic_score_gemma":9.207768e-8,"domain_scores_codex":[0.9992061,0.000007756169,0.0001927277,0.0001197128,0.0003231216,0.0001505682],"domain_scores_gemma":[0.999559,0.0001071202,0.0001015127,0.0000750701,0.000002589071,0.0001547274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006737642,0.00001760002,0.00828669,0.00000911259,0.000005534169,0.00001158008,0.0002172878,0.00002954653,0.9776101,0.00001340117,0.00003569134,0.01375674],"study_design_scores_gemma":[0.001424507,0.0005107244,0.385209,0.0003067758,0.00005241926,0.001301226,0.0002425678,0.0004492955,0.6064752,0.0002158782,0.003467955,0.0003444466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985675,0.000718025,0.0003628394,0.00005861498,0.00009080528,0.00004905745,0.00000175067,0.000003503659,0.0001479037],"genre_scores_gemma":[0.9977981,0.0006836727,0.001432332,0.00001895771,0.00001764951,8.029018e-7,2.398722e-8,0.000004509087,0.00004394949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3769223,"threshold_uncertainty_score":0.2363036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003484513691177759,"score_gpt":0.1957012670639582,"score_spread":0.1922167533727804,"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."}}