{"id":"W2516090678","doi":"10.1002/cjce.22658","title":"Formation of hydrogen peroxide and treatment of Sunset Yellow wastewater using pulsed high‐voltage discharge system","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Sunset; Hydrogen peroxide; Wastewater; Electrode; Degradation (telecommunications); Conductivity; Chemistry; Analytical Chemistry (journal); Materials science; Environmental engineering; Chemical engineering; Environmental chemistry; Environmental science; Electronic engineering; Optics; 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":[0.00007477944,0.00006611751,0.0001928207,0.00007764639,0.00001538577,0.000004135144,0.00004427763,0.00003705221,0.000005577688],"category_scores_gemma":[0.00004643426,0.00003553129,0.00004527341,0.00005043899,0.00003542781,0.00004855149,0.000003517257,0.00003466542,5.008967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997146,"about_ca_system_score_gemma":0.00009193122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003769377,"about_ca_topic_score_gemma":0.0000320616,"domain_scores_codex":[0.9995127,0.000003881754,0.0002562814,0.00003668847,0.00007904501,0.0001114368],"domain_scores_gemma":[0.9994822,0.00007346836,0.000100347,0.00009415979,0.00005966035,0.0001902243],"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":[0.00001181965,0.000008145558,0.0002059943,0.00006317257,0.00003293762,0.000007635907,0.0001478146,0.000282192,0.9988116,0.0001698843,0.000008543769,0.0002502817],"study_design_scores_gemma":[0.0006816205,0.00005860679,0.0001158303,0.0003730519,0.00009951359,0.0002099149,0.00002821016,0.004291771,0.9939731,0.00001059049,0.0001180182,0.00003978931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987692,0.0001289912,0.0007448578,0.000200791,0.00002305419,0.00008502428,0.0000340914,0.000002479756,0.00001150032],"genre_scores_gemma":[0.9995473,0.000008304016,0.000374282,0.000003590738,0.00004495804,0.000001610519,0.000002708877,0.00000859948,0.000008621611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004838495,"threshold_uncertainty_score":0.1448924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099365175001837,"score_gpt":0.1953353541220305,"score_spread":0.1843417023720122,"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."}}