{"id":"W1989068964","doi":"10.1016/j.electacta.2011.05.021","title":"Degradation of disperse azo dyes from waters by solar photoelectro-Fenton","year":2011,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Ministerio de Ciencia e Innovación; Ministerio de Economía y Competitividad; Mountain Equipment Co-operative; Universidad de Santiago de Chile","keywords":"Chemistry; Oxidizing agent; Radical; Mineralization (soil science); Inorganic ions; Photodissociation; Nuclear chemistry; Degradation (telecommunications); Hydrogen peroxide; Ion; Photochemistry; Organic chemistry; Nitrogen","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005496892,0.0001928706,0.0001702887,0.00003306881,0.00007828594,0.00001086889,0.0002621395,0.00005914677,0.001992225],"category_scores_gemma":[0.00001148791,0.0001649682,0.00006236105,0.0001443391,0.00009289484,0.0003576467,0.00006783245,0.0001056563,0.0001946026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314118,"about_ca_system_score_gemma":0.000008354689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005939185,"about_ca_topic_score_gemma":0.0001035261,"domain_scores_codex":[0.9987159,0.00004914177,0.0002397991,0.0003770936,0.0002542076,0.000363811],"domain_scores_gemma":[0.9994295,0.00002131701,0.0001422111,0.0003075572,0.000007507481,0.00009188479],"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":[0.00008823894,0.000177145,0.008177434,0.000001469087,0.00003504234,9.271775e-7,0.0006794115,0.000002531049,0.9881235,0.000009776683,0.001336417,0.001368101],"study_design_scores_gemma":[0.0003674291,0.0001914863,0.009166277,0.000004845088,0.00003639219,0.000001759563,0.00003597476,0.0001019161,0.987211,0.0007421717,0.001963924,0.0001768381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946473,0.00002081647,0.002970172,0.0001374165,0.00003950168,0.0002255476,0.00002534499,0.00005991165,0.001873964],"genre_scores_gemma":[0.9928056,0.00006480572,0.0059208,0.0001114327,0.00001093516,0.00002583193,0.0002240262,0.00002544788,0.0008111075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002950629,"threshold_uncertainty_score":0.9989201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008641366986806823,"score_gpt":0.1897908385939279,"score_spread":0.1811494716071211,"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."}}