{"id":"W2067166310","doi":"10.1080/09593330.2004.9619352","title":"Municipal Wastewater Treatment by USAB Process: Start-up at 20°c and Operation at Low Temperatures","year":2004,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wastewater; Process (computing); Waste management; Environmental science; Sewage treatment; Environmental engineering; Process engineering; Pulp and paper industry; Chemistry; Engineering; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002368558,0.0005954255,0.0008851633,0.0002566915,0.0004041142,0.000549765,0.0003184364,0.0004820987,0.0005387792],"category_scores_gemma":[0.0002459898,0.0002389294,0.0003503185,0.0004575697,0.0002094229,0.0004095874,0.0003743496,0.0005067728,0.0003331155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000461037,"about_ca_system_score_gemma":0.0005748483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00327114,"about_ca_topic_score_gemma":0.004485562,"domain_scores_codex":[0.9997558,0.00004619942,0.00002076329,0.0000503245,0.00007674228,0.00005021394],"domain_scores_gemma":[0.9999286,0.000009760737,0.00002021943,0.000006263538,0.00001850834,0.0000166836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003153551,0.00006609062,0.0006228219,0.0001323348,0.00000855891,0.00003878212,0.00003416623,0.0001793392,0.9936208,0.00003407687,0.00003360101,0.004914175],"study_design_scores_gemma":[0.00003357976,0.0005882255,0.004846466,0.000008329634,0.00002317756,0.0001635717,0.00002663587,0.000964051,0.992149,0.00003152292,0.001152349,0.00001303943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940918,0.001288752,0.003590217,0.0000610293,0.00001401265,0.0000582869,0.0001830986,0.0001222058,0.0005905862],"genre_scores_gemma":[0.9892168,0.0007474084,0.008701078,0.00002298433,0.000006540789,0.00006924891,0.0003687101,0.00003455326,0.0008327279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00327114,"threshold_uncertainty_score":0.006504178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006638775848324566,"score_gpt":0.2198824500660286,"score_spread":0.2132436742177041,"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."}}