{"id":"W2804052201","doi":"10.1007/s13762-018-1761-4","title":"Sustainable practice for the food industry: assessment of selected treatment options for reclamation of washwater from vegetable processing","year":2018,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Stantec (Canada)","funders":"National Institute of Food and Agriculture","keywords":"Reverse osmosis; Turbidity; Ultrafiltration (renal); Chemical oxygen demand; Environmental science; Wastewater; Microfiltration; Biochemical oxygen demand; Waste management; Pulp and paper industry; Water treatment; Food processing; Sewage treatment; Environmental engineering; Chemistry; Membrane; Engineering","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":[0.002218211,0.000633874,0.0004502827,0.001277095,0.0007744472,0.002183689,0.0009381952,0.001529888,0.001626635],"category_scores_gemma":[0.001963347,0.0002323321,0.0009173545,0.001271167,0.0005953137,0.001309214,0.001077961,0.0005249695,0.0002708743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002254454,"about_ca_system_score_gemma":0.002112842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005697762,"about_ca_topic_score_gemma":0.02173471,"domain_scores_codex":[0.9975427,0.0006829812,0.0001628478,0.0001868007,0.00128322,0.0001414356],"domain_scores_gemma":[0.9990081,0.0002265378,0.0002360257,0.00005877616,0.000417013,0.00005354274],"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":[0.004023596,0.002599112,0.0396553,0.005887423,0.0006212329,0.0008591286,0.001582045,0.04529565,0.5471785,0.005367619,0.001486592,0.3454438],"study_design_scores_gemma":[0.0005906309,0.05341981,0.1275921,0.001667105,0.001790593,0.001247721,0.01117428,0.04197893,0.6830285,0.01230949,0.06493947,0.0002613893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818295,0.004955706,0.004007143,0.0004867419,0.00002002556,0.0002393972,0.0002517717,0.00001660021,0.008193058],"genre_scores_gemma":[0.9844803,0.00468093,0.008586339,0.00005873332,0.000005177207,0.00007807257,0.0001922793,0.000007330845,0.001910867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005697762,"threshold_uncertainty_score":0.0163573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034887391505505,"score_gpt":0.2820694107036523,"score_spread":0.2717205367885973,"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."}}