{"id":"W3014501702","doi":"10.1002/wer.1335","title":"Treatment of municipal wastewater in AnMBRs with powdered activated carbon addition under psychrophilic temperatures","year":2020,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Effluent; Membrane fouling; Fouling; Chemistry; Population; Bioreactor; Wastewater; Permeation; Membrane; Chromatography; Pulp and paper industry; Environmental engineering; Biochemistry; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001562572,0.0002003024,0.0002290971,0.000121777,0.00007623094,0.00002282323,0.000272316,0.000108394,0.002848868],"category_scores_gemma":[0.000006898166,0.0001217574,0.00003436142,0.0002591597,0.0005559693,0.0001387173,0.0001997131,0.0002264913,0.0002649137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004131051,"about_ca_system_score_gemma":0.000007616337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006655185,"about_ca_topic_score_gemma":0.00007590675,"domain_scores_codex":[0.9977568,0.0002200586,0.0002591529,0.0005249672,0.000726189,0.0005128626],"domain_scores_gemma":[0.9993711,0.00003362785,0.00003586891,0.000449847,0.000004235225,0.0001053838],"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":[0.0003220987,0.0003026458,0.00674614,0.0000122366,0.00002196086,0.00003308757,0.002393318,0.00769916,0.9820473,0.00001036154,0.0000687256,0.0003429362],"study_design_scores_gemma":[0.001159586,0.001561517,0.01054109,0.0000106828,0.000005656979,0.000004489319,0.0008422721,0.0006697009,0.9824951,0.0001165791,0.002424827,0.0001684839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948421,0.00002586959,0.00000202006,0.003138975,0.00000934136,0.0006277477,0.000008572128,0.00004104246,0.001304341],"genre_scores_gemma":[0.9989351,0.0001369297,0.0001611232,0.00003231843,0.00001671387,0.0001387448,0.00006263517,0.00002466239,0.0004917833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007029459,"threshold_uncertainty_score":0.9980627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05476083638319366,"score_gpt":0.2954916886417041,"score_spread":0.2407308522585104,"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."}}