{"id":"W3095394418","doi":"10.1002/wer.1475","title":"Anaerobic membrane bioreactors for wastewater treatment: Challenges and opportunities","year":2020,"lang":"en","type":"review","venue":"Water Environment Research","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; University of Waterloo","funders":"Ontario Ministry of Economic Development, Job Creation and Trade","keywords":"Wastewater; Membrane fouling; Sewage treatment; Methane; Biogas; Fouling; Waste management; Environmental science; Environmental engineering; Chemistry; Membrane; Pulp and paper industry; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007518325,0.0006336587,0.001225992,0.0002664469,0.0002663425,0.00009520508,0.0006227453,0.0004363521,0.001838659],"category_scores_gemma":[0.00002132191,0.0003774037,0.0002535928,0.00006938518,0.0009881759,0.0002114411,0.001002749,0.0003899092,0.001854217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741753,"about_ca_system_score_gemma":0.00002333003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003792337,"about_ca_topic_score_gemma":0.000009606262,"domain_scores_codex":[0.9962413,0.0003930294,0.0005406929,0.001189077,0.0006792715,0.0009566501],"domain_scores_gemma":[0.9985863,0.0002322357,0.00009747536,0.0008082831,0.00000417482,0.0002715621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001283242,0.00008647569,8.743647e-7,0.002023906,0.0001130307,0.00004021142,0.0006528494,0.000002158856,0.0005200213,0.0001275539,0.0003354184,0.9960847],"study_design_scores_gemma":[0.0002450365,0.000581993,0.000002250079,0.0002546029,0.0001333531,0.0000179291,0.0002011236,0.000009571187,0.00339971,0.0001766685,0.9945595,0.0004182425],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000448793,0.9932495,0.00000239191,0.001632632,0.00004956666,0.002731937,0.00007304459,0.0001202859,0.001691798],"genre_scores_gemma":[0.0001919656,0.9917865,0.0002863134,0.00001212898,0.00007598381,0.001586582,0.0002888154,0.0001039885,0.00566774],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9956664,"threshold_uncertainty_score":0.9998678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2936900787409884,"score_gpt":0.3643944260217389,"score_spread":0.07070434728075053,"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."}}