{"id":"W4390429525","doi":"10.1016/j.jwpe.2023.104695","title":"Treatment of phenolic-wastewater by hybrid technologies: A review","year":2023,"lang":"en","type":"review","venue":"Journal of Water Process Engineering","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Khalifa University of Science, Technology and Research","keywords":"Flexibility (engineering); Biochemical engineering; Emerging technologies; Process engineering; Computer science; Sewage treatment; Wastewater; Process (computing); Environmental science; Nanotechnology; Engineering; Materials science; Environmental engineering; Artificial intelligence; Mathematics","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":[0.000653629,0.001321726,0.002094736,0.002935978,0.0002857557,0.001163765,0.001049709,0.001115534,0.002714915],"category_scores_gemma":[0.0005812124,0.0004968595,0.0009505805,0.003477849,0.0003762989,0.00155178,0.0008106765,0.001106876,0.001248557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816476,"about_ca_system_score_gemma":0.001070079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008759267,"about_ca_topic_score_gemma":0.002073338,"domain_scores_codex":[0.9997647,0.00002391804,0.00003633824,0.0000550712,0.00009273776,0.00002719069],"domain_scores_gemma":[0.999635,0.0001526123,0.00007508678,0.0000117191,0.00009574938,0.00002991201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001369174,0.0002250425,0.0002626593,0.06077705,0.0003305725,0.0002338949,0.00006299358,0.0006581599,0.01034599,0.00194251,0.01622635,0.908798],"study_design_scores_gemma":[0.00004861865,0.0004077391,0.001482074,0.006387637,0.0008611865,0.001226858,0.0001107262,0.0003021337,0.004706793,0.001161128,0.9832355,0.00006949558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000268471,0.9988421,0.0002161261,0.00007526464,0.0001240891,0.000007213566,0.00002610744,0.000006509795,0.0004340553],"genre_scores_gemma":[0.0007755717,0.9984697,0.0002946331,0.00007061833,0.0000683532,0.000005322375,0.00002796331,0.000001202878,0.000286726],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002935978,"threshold_uncertainty_score":0.009082258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481501538580132,"score_gpt":0.2923510116007588,"score_spread":0.2675359962149574,"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."}}