{"id":"W4304763847","doi":"10.1016/j.jwpe.2022.103197","title":"Development of a crossflow nanofiltration process for polishing of wastewater by-product from biogas production processes","year":2022,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cytodiagnostics (Canada); McMaster University","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Nanofiltration; Polishing; Process development; Biogas; Wastewater; Process engineering; Process (computing); Production (economics); Biogas production; Product (mathematics); Environmental science; Waste management; Manufacturing engineering; Pulp and paper industry; Engineering; Chemistry; Computer science; Membrane; Mechanical engineering; Anaerobic digestion; Methane; Mathematics","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":[0.0003160202,0.0004770988,0.0003985493,0.0002582717,0.0002742287,0.0004932934,0.0003770447,0.0005975634,0.000459436],"category_scores_gemma":[0.0001772045,0.0002175851,0.0006448677,0.000160771,0.0001658636,0.0005558761,0.0003949544,0.0005788612,0.0002065377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003523501,"about_ca_system_score_gemma":0.0006500813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033506,"about_ca_topic_score_gemma":0.001542622,"domain_scores_codex":[0.9998558,0.00001099803,0.00001301229,0.00003595696,0.00006400082,0.0000202733],"domain_scores_gemma":[0.9999391,0.00000678774,0.00001378186,0.000005813696,0.00001982589,0.00001474907],"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":[0.00004190699,0.00006866761,0.0001284577,0.00004200073,0.000008239629,0.00003764627,0.00001202701,0.0002438596,0.9949149,0.00007905041,0.00001960785,0.004403701],"study_design_scores_gemma":[0.00002054734,0.0002935115,0.001336568,0.000005258225,0.00002675396,0.00009367833,0.000009651988,0.003821036,0.993048,0.00002807559,0.001309237,0.0000075705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715641,0.0007401521,0.02598955,0.0001103558,0.00006766515,0.0001096212,0.0001296393,0.0001931065,0.001095845],"genre_scores_gemma":[0.9583141,0.0008023856,0.03807786,0.00005186644,0.00001211284,0.00005621765,0.0003329326,0.00003197899,0.002320545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001033506,"threshold_uncertainty_score":0.002556503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457476882548835,"score_gpt":0.2347494786971412,"score_spread":0.2201747098716529,"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."}}