{"id":"W2231328989","doi":"","title":"Biofiltration in Drinking Water Treatment: Reduction of Membrane Fouling and Biodegradation of Organic Trace Contaminants","year":2010,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biofilter; Fouling; Biodegradation; Contamination; Environmental chemistry; TRACE (psycholinguistics); Environmental science; Membrane fouling; Membrane; Water contamination; Biofouling; Chemistry; Pulp and paper industry; Waste management; Environmental engineering; Biology; Organic chemistry; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000263643,0.0003626141,0.0003498981,0.0002468289,0.000351863,0.0006325651,0.0004055293,0.0006885549,0.0008675858],"category_scores_gemma":[0.0001788183,0.0001484075,0.0004113321,0.0003574694,0.0002180646,0.0004195983,0.0003699457,0.0005949787,0.0003509834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007921329,"about_ca_system_score_gemma":0.0005089282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004439272,"about_ca_topic_score_gemma":0.006975023,"domain_scores_codex":[0.99967,0.00004212801,0.00001959626,0.00006846423,0.0001409078,0.00005894594],"domain_scores_gemma":[0.9999131,0.00002000302,0.00002588902,0.000005984979,0.00002368049,0.0000112897],"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":[0.0001129225,0.0001242803,0.00110591,0.0005949821,0.00002187557,0.00007258174,0.00004122219,0.0003417818,0.9676363,0.0002238162,0.0001888035,0.02953549],"study_design_scores_gemma":[0.00001094873,0.0005964297,0.01028967,0.00003450939,0.00004716245,0.0002792573,0.00005942365,0.001548217,0.9775597,0.00008976983,0.009468636,0.00001627604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376928,0.03266768,0.02313234,0.0007783199,0.0001775099,0.0001453496,0.0002817703,0.0002485903,0.0048757],"genre_scores_gemma":[0.9570805,0.01740539,0.01725928,0.0002688894,0.00003891274,0.00005608257,0.000234686,0.00003059147,0.007625581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004439272,"threshold_uncertainty_score":0.008826852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009681424869624002,"score_gpt":0.2019279432635083,"score_spread":0.1922465183938843,"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."}}