{"id":"W2006366587","doi":"10.1007/s10800-009-9927-x","title":"In situ active chlorine generation for the treatment of dye-containing effluents","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Chemistry; Chlorine; Chloride; Electrochemistry; Reaction rate constant; Inorganic chemistry; Nuclear chemistry; Electrolyte; Anode; Supporting electrolyte; Electrode; Kinetics; Organic chemistry","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":[0.0002501679,0.0003032482,0.0002695748,0.0002522914,0.0002548159,0.0004705772,0.0005721262,0.0006210169,0.001245719],"category_scores_gemma":[0.0002379792,0.0001749971,0.0002427317,0.0001268813,0.0002204867,0.000317049,0.0002523178,0.0005120707,0.0002175631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000400458,"about_ca_system_score_gemma":0.0002316093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009136033,"about_ca_topic_score_gemma":0.002086639,"domain_scores_codex":[0.9998243,0.00003251378,0.000008172464,0.00003236007,0.00006085281,0.00004172067],"domain_scores_gemma":[0.9999269,0.00001981688,0.0000118534,0.000007114611,0.00002420307,0.00001017808],"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":[0.00007914211,0.00001779688,0.00004044636,0.00006166705,0.000003408919,0.00002651485,0.0000197988,0.00007552947,0.9972915,0.0000774524,0.0000651158,0.002241558],"study_design_scores_gemma":[0.00001102205,0.00006397415,0.00009582442,0.000001751177,0.00000577818,0.00002684671,0.00001025178,0.0006578013,0.9984978,0.00001983387,0.0006063448,0.000002679365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977008,0.002677568,0.01688112,0.0004117515,0.0001265522,0.00003532243,0.0001369888,0.0001656045,0.002557043],"genre_scores_gemma":[0.995073,0.000464955,0.00185925,0.00004922736,0.000009912799,0.000006134814,0.00005214771,0.00001730104,0.002468037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001245719,"threshold_uncertainty_score":0.004167318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009442955704499555,"score_gpt":0.2529990361814262,"score_spread":0.2435560804769266,"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."}}