{"id":"W4400316040","doi":"10.1007/s10800-024-02161-5","title":"Surfactant-tolerant cathodes for electrochemical generation of hydrogen peroxide for wastewater treatment","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centre of Innovation","keywords":"Hydrogen peroxide; Electrochemistry; Pulmonary surfactant; Wastewater; Cathode; Chemistry; Cathodic protection; Inorganic chemistry; Waste management; Electrode; Organic chemistry; Biochemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001532008,0.0002037572,0.0002913353,0.0000330122,0.00005694201,0.0000244516,0.0001374937,0.00008915793,0.00006877397],"category_scores_gemma":[0.0000104516,0.0001538862,0.0002060307,0.00008847869,0.00004684106,0.00009931254,0.00001608507,0.00008325309,0.000004385265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006849453,"about_ca_system_score_gemma":0.00006842644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001548414,"about_ca_topic_score_gemma":0.000001724172,"domain_scores_codex":[0.9987293,0.000006243288,0.0004830543,0.0002612598,0.0002181813,0.0003019618],"domain_scores_gemma":[0.9994561,0.00008241441,0.0001976145,0.0001420563,0.00003085622,0.00009096292],"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":[0.0002983451,0.0001275001,0.00001768539,0.0000520774,0.0001234304,0.000002285876,0.0002534669,0.001063067,0.9961908,0.00004493312,0.0002484443,0.001577982],"study_design_scores_gemma":[0.0007965409,0.0003947551,0.000003836226,0.00001653654,0.0001391353,0.00005844516,0.00003304578,0.001901646,0.9923869,0.001215173,0.002914615,0.0001394071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773419,0.0002705287,0.02160728,0.0001618096,0.00003773197,0.0003597433,0.00001570685,0.00001773863,0.0001875133],"genre_scores_gemma":[0.9742115,0.0000594936,0.02507854,0.00002019384,0.0002022884,0.00009720472,0.00005913859,0.0000308589,0.0002407381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003803919,"threshold_uncertainty_score":0.6275297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580847069701179,"score_gpt":0.2554725555853045,"score_spread":0.2396640848882927,"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."}}