{"id":"W2008103471","doi":"10.1002/jctb.1324","title":"Disinfection of recycled red‐meat‐processing wastewater by ozone","year":2005,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Agriculture; U.S. Environmental Protection Agency","keywords":"Wastewater; Ozone; Chemical oxygen demand; Chemistry; Biochemical oxygen demand; Pulp and paper industry; Sewage treatment; Fecal coliform; Food science; Environmental science; Environmental engineering; Biology; Water quality; Ecology","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":[0.0001259454,0.0001961793,0.0004113973,0.0002915153,0.00004439016,0.00000572746,0.0004511413,0.0007583302,0.0002475893],"category_scores_gemma":[0.00009138459,0.0001581836,0.00009652076,0.0006254846,0.0008204375,0.0002689909,0.0002368866,0.000496981,0.00003614806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984476,"about_ca_system_score_gemma":0.00001091371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004075623,"about_ca_topic_score_gemma":0.000001861083,"domain_scores_codex":[0.998446,0.00001891704,0.0007080107,0.0002753959,0.0002335048,0.0003181597],"domain_scores_gemma":[0.9989077,0.00002032295,0.0006549718,0.0003180496,0.00003750852,0.00006143341],"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":[0.00004240017,0.0002138464,0.001862793,0.000003741073,0.00002395182,0.000006647651,0.00001419105,0.0000229828,0.8423194,0.00008312282,0.0008362315,0.1545707],"study_design_scores_gemma":[0.0007332169,0.0002823936,0.00005679527,0.00003050536,0.00003772921,0.0003683894,0.00003174907,0.00006549925,0.9693992,0.004877801,0.02398415,0.0001325957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770982,0.0003535487,0.007000865,0.0150258,0.00005827293,0.00007798174,0.000002674255,0.0001428298,0.0002397829],"genre_scores_gemma":[0.9751136,0.0001442932,0.02450538,0.00006542129,0.00003124545,0.000004485545,0.000002921841,0.00001991438,0.000112759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1544381,"threshold_uncertainty_score":0.645054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00398022118043299,"score_gpt":0.2219292689561481,"score_spread":0.2179490477757152,"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."}}