{"id":"W4237424108","doi":"10.32920/ryerson.14645514","title":"Combined biological and advanced oxidation processes for the treatment of an actual slaughterhouse wastewater","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Wastewater; Effluent; Sewage treatment; Biogas; Environmental science; Anaerobic digestion; Yield (engineering); Waste management; Reuse; Environmental engineering; Engineering; Chemistry; Methane","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006025752,0.0002728763,0.0002899893,0.00001917308,0.0001024822,0.00005017233,0.0001682307,0.0001215683,0.0004274786],"category_scores_gemma":[0.00002830802,0.0001425412,0.00006394046,0.00006051528,0.0001789135,0.0001884787,0.0002178924,0.00004484806,0.000005653085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553707,"about_ca_system_score_gemma":0.00001759984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004880542,"about_ca_topic_score_gemma":0.0001310484,"domain_scores_codex":[0.9987894,0.00004687901,0.0002827983,0.000565792,0.0001280875,0.0001870537],"domain_scores_gemma":[0.9991251,0.0001823117,0.0001662368,0.0004314869,0.00002950388,0.0000653095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00265649,0.01015388,0.05282559,0.0004842916,0.0009601123,0.0000215818,0.02416461,0.06586847,0.3215566,0.0001037282,0.0000964189,0.5211082],"study_design_scores_gemma":[0.00327802,0.003481792,0.03295294,0.00004689753,0.0001942546,0.00000650023,0.00165269,0.001531997,0.951528,0.002075305,0.002691075,0.0005605996],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923694,0.0001363516,0.005504382,0.0003206243,0.00009042049,0.001449467,0.00004305967,0.00003887855,0.00004740698],"genre_scores_gemma":[0.962613,0.0009884273,0.03472873,0.00003382166,0.00002278259,0.0006186447,0.0005085689,0.00001904374,0.0004669877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6299713,"threshold_uncertainty_score":0.5812662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028778253533962,"score_gpt":0.2740153920327186,"score_spread":0.2452371384987566,"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."}}