{"id":"W4388142104","doi":"10.1021/acsestwater.3c00410","title":"Ru(III)/Periodate System: Rapid Microbial Inactivation and Micropollutant Abatement in Seconds","year":2023,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"EnviroSim (Canada)","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; Shanghai Tongji Gao Tingyao Environmental Science and Technology Development Foundation","keywords":"Oxidizing agent; Periodate; Ligand (biochemistry); Chemistry; Wastewater; Human decontamination; Water treatment; Environmental chemistry; Ruthenium; Escherichia coli; Combinatorial chemistry; Catalysis; Environmental engineering; Organic chemistry; Biochemistry; Environmental science; Waste management","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":[0.000172962,0.0004033112,0.0002663435,0.0001394708,0.00007931226,0.0002200534,0.00031513,0.0004098669,0.0005670813],"category_scores_gemma":[0.0001461772,0.0001647791,0.0002348024,0.0001265059,0.0001439548,0.0002880473,0.0002592615,0.0004272763,0.0002873035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675631,"about_ca_system_score_gemma":0.0001645321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004025552,"about_ca_topic_score_gemma":0.0005889219,"domain_scores_codex":[0.9998364,0.00002057066,0.000009926664,0.00004381036,0.00004640801,0.00004286534],"domain_scores_gemma":[0.9999558,0.000005807465,0.00001767238,0.000005002868,0.000007383564,0.000008333714],"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":[0.00004594252,0.00001329231,0.00004419952,0.00005974357,0.000004787763,0.00002318991,0.00001217641,0.00007886295,0.9971581,0.00007904939,0.00004704942,0.002433804],"study_design_scores_gemma":[0.000007898773,0.0002584972,0.0002628966,0.000002948363,0.000008569525,0.0000654876,0.000007070374,0.0009001527,0.9971707,0.00001444263,0.00129669,0.000004777744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511527,0.005355676,0.03986643,0.0001910812,0.00008470059,0.000115351,0.0001733575,0.0005614448,0.002499248],"genre_scores_gemma":[0.9874831,0.001125671,0.009435506,0.00006766042,0.00001437671,0.00004750618,0.0001061656,0.00002838112,0.00169154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005670813,"threshold_uncertainty_score":0.001897097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006485024314754591,"score_gpt":0.1866856507083479,"score_spread":0.1802006263935933,"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."}}