{"id":"W2158019872","doi":"10.1680/jees.2013.0045","title":"Evaluation of treatment options for Atlantic Canadian seafood processing plant effluent","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fisheries and Oceans Canada","keywords":"Effluent; Turbidity; Dissolved air flotation; Suspended solids; Chemical oxygen demand; Total suspended solids; Environmental science; Sedimentation; Biochemical oxygen demand; Pulp and paper industry; Settling; Alum; Waste management; Environmental engineering; Environmental chemistry; Chemistry; Sewage treatment; Ecology; Wastewater; Biology; Sediment; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003792869,0.00006916689,0.0001116955,0.000149434,0.00005792236,0.00002038293,0.00009466805,0.00002919788,0.00002191521],"category_scores_gemma":[0.0001125124,0.00005157292,0.00003318978,0.00006573292,0.00005506049,0.0001663239,0.00001157294,0.00005063616,6.793618e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003769494,"about_ca_system_score_gemma":0.00009065893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002437244,"about_ca_topic_score_gemma":0.00001404056,"domain_scores_codex":[0.999341,0.000003042764,0.00017532,0.00007702269,0.0002505958,0.0001529957],"domain_scores_gemma":[0.999694,0.00002506029,0.0000607533,0.0000581999,0.00003419997,0.0001278144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000254306,0.00002761791,0.0005437251,0.00001853831,0.00001685372,5.35766e-7,0.0001182868,0.1020881,0.8696991,0.00004537824,0.00000970871,0.02742957],"study_design_scores_gemma":[0.0005951411,0.0002254022,0.009173851,0.0000747892,0.00006990039,0.00004165735,0.0001758847,0.9482165,0.04100107,0.00005118447,0.0002835662,0.00009104241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997871,0.0005101816,0.001296102,0.00008354861,0.00005656347,0.0001357739,0.000007789123,0.000008224236,0.00003083733],"genre_scores_gemma":[0.9979455,0.00004824826,0.001955905,0.00000285908,0.00002078287,0.00001116878,7.003591e-7,0.000004657902,0.00001014688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8461283,"threshold_uncertainty_score":0.2103083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168601605926635,"score_gpt":0.226127862227798,"score_spread":0.2092677016351345,"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."}}