{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002276583,0.0001576655,0.000186354,0.0001684512,0.00004210227,0.00005510259,0.00007452953,0.00008343026,0.0001395518],"category_scores_gemma":[0.000003443171,0.0001301705,0.00001821504,0.0001020691,0.00002766483,0.0001979594,0.00007279336,0.00006296118,0.0004157742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197632,"about_ca_system_score_gemma":0.000003861473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000260934,"about_ca_topic_score_gemma":0.00001292776,"domain_scores_codex":[0.9990436,0.00003055504,0.0003338609,0.000187062,0.0001054149,0.000299472],"domain_scores_gemma":[0.999763,0.00001262596,0.0000270125,0.0001465351,0.000005159957,0.00004572646],"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":[0.00001198841,0.000006526982,0.0005011236,0.000118956,0.00001834627,0.00001401294,0.0009018753,0.0004497856,0.9971753,0.00001244045,0.0002591872,0.0005304708],"study_design_scores_gemma":[0.0007693369,0.00001917721,0.007242037,0.00004959138,0.000007367611,0.000008685943,0.0002394245,0.0005337544,0.9879926,0.00000719825,0.002948566,0.000182283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985955,0.00004399267,0.00002102508,0.00009833378,0.0005392493,0.0002703079,0.00003004617,0.0002131231,0.0001883804],"genre_scores_gemma":[0.9993389,0.0001209541,0.00005903699,0.00003877102,0.00007572415,0.00004739772,0.0001168465,0.00004050929,0.0001618931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009182709,"threshold_uncertainty_score":0.5344075,"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."}}