{"id":"W2472369295","doi":"10.2175/106143006x99812","title":"Treatment of High‐Strength Pet Food Wastewater Using Two‐Stage Membrane Bioreactors","year":2006,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bioreactor; Wastewater; Membrane bioreactor; Pet food; Stage (stratigraphy); Sewage treatment; Waste management; Environmental science; Pulp and paper industry; Chemistry; Environmental engineering; Food science; Biology; Engineering; Botany","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":[0.0003883631,0.0007503154,0.000739833,0.0002001735,0.0003477167,0.0007012803,0.0005528034,0.001139045,0.0005349501],"category_scores_gemma":[0.0003144652,0.0002661328,0.0007026269,0.0002975244,0.0002041611,0.000607369,0.0004337305,0.0006344147,0.0002965864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006378411,"about_ca_system_score_gemma":0.0004204914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081799,"about_ca_topic_score_gemma":0.002374786,"domain_scores_codex":[0.9994961,0.0001098925,0.00004612461,0.00009912015,0.0001602157,0.00008855989],"domain_scores_gemma":[0.9998258,0.00004128743,0.00003742894,0.00001566864,0.00005104779,0.00002885754],"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":[0.00004410891,0.00003122896,0.0001197587,0.00004585809,0.000004079464,0.00003753101,0.000012042,0.0001505183,0.9988105,0.00001780394,0.00001672733,0.0007099712],"study_design_scores_gemma":[0.00001959771,0.0003380492,0.001568781,0.000004321486,0.0000121741,0.0001165529,0.00002605186,0.002178641,0.9948848,0.00002215176,0.0008195768,0.000009216208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869496,0.0004913029,0.01119381,0.0001248646,0.00004708281,0.00009510536,0.0001316464,0.00008793728,0.000878618],"genre_scores_gemma":[0.9754021,0.0007962422,0.01878711,0.00009142766,0.00003041479,0.0001183063,0.0004025272,0.00002080213,0.004351088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002081799,"threshold_uncertainty_score":0.004627883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04816701503488241,"score_gpt":0.2970933717114415,"score_spread":0.2489263566765591,"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."}}