{"id":"W2013803034","doi":"10.1021/ie050981u","title":"Electrohydraulic Discharge and Nonthermal Plasma for Water Treatment","year":2005,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":1174,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Electric discharge; Electrical current; Wastewater; Environmental science; Plasma; Water treatment; Current (fluid); Sewage treatment; Aqueous solution; Process engineering; Nonthermal plasma; Environmental chemistry; Materials science; Chemistry; Environmental engineering; Electrode; Organic chemistry; Electrical engineering; Engineering","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":[0.0003207627,0.0002582881,0.0002379652,0.00009627125,0.0001074673,0.00009620208,0.0001813797,0.0002886064,0.00003666902],"category_scores_gemma":[0.00003896455,0.0002221837,0.0000730675,0.0001552217,0.00003763644,0.0001307418,0.0000416262,0.0005215395,0.00001287546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613571,"about_ca_system_score_gemma":0.0000370154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001546031,"about_ca_topic_score_gemma":0.000006707128,"domain_scores_codex":[0.9982477,0.000009646205,0.0002360765,0.000290442,0.000229314,0.0009867788],"domain_scores_gemma":[0.9993799,0.0001190374,0.000008315164,0.0002393473,0.00005139811,0.0002020009],"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":[0.00003147357,0.00002976511,0.0000122786,0.00004732949,0.00007622666,0.000003014928,0.00006741046,0.05276379,0.9416894,0.0001030036,0.0001544047,0.005021867],"study_design_scores_gemma":[0.000732254,0.00005743924,0.000002174689,0.00001125429,0.000007660293,0.00001112457,0.000003702801,0.4589707,0.5202807,0.000007953437,0.01975775,0.0001573425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979066,0.000209816,0.0001777484,0.0004279855,0.00009360386,0.0003877886,0.00004031345,0.0002311655,0.0005249302],"genre_scores_gemma":[0.9969919,0.0001109068,0.00009949992,0.000003020515,0.001345268,0.0002121335,0.00009197214,0.0000911953,0.001054113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4214088,"threshold_uncertainty_score":0.906039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129968164940744,"score_gpt":0.2721599743470212,"score_spread":0.2408602926976138,"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."}}