{"id":"W2161298571","doi":"10.1002/cjce.5450800103","title":"A simple and effective model for cross‐flow microfiltration and ultrafiltration","year":2002,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microfiltration; Ultrafiltration (renal); Fouling; Flux (metallurgy); Flow (mathematics); Membrane fouling; Range (aeronautics); Mechanics; Materials science; Membrane; Chemistry; Chromatography; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005064105,0.0007869712,0.0009393588,0.0004496306,0.0008894039,0.001193539,0.002494532,0.002573136,0.003630653],"category_scores_gemma":[0.001093326,0.000640618,0.001234444,0.0004749124,0.0008698236,0.001735225,0.0006218434,0.001436193,0.0009322832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942037,"about_ca_system_score_gemma":0.002355855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037799,"about_ca_topic_score_gemma":0.007082737,"domain_scores_codex":[0.9996922,0.00005432381,0.00001407453,0.00006015254,0.0001296057,0.00004959295],"domain_scores_gemma":[0.9997442,0.0001071072,0.00002719936,0.00002226688,0.0000824209,0.00001672286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002403519,0.00003114538,0.000221118,0.00007282703,0.00001614321,0.0001116537,0.00006269779,0.9356174,0.006098239,0.0533102,0.0007483752,0.003686129],"study_design_scores_gemma":[0.000008085892,0.00000816536,0.00007836327,0.000003409702,0.000003729176,0.00001741845,0.00000330193,0.9942941,0.0005774118,0.003953883,0.001046005,0.000006047788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03280331,0.0005307039,0.9500737,0.0006290538,0.0001701535,0.0001502764,0.0005835195,0.0004317169,0.01462759],"genre_scores_gemma":[0.8403573,0.001316787,0.09802805,0.0003215135,0.0001257246,0.00127238,0.0009229847,0.0002523788,0.05740294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02037799,"threshold_uncertainty_score":0.04051876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009469186363125649,"score_gpt":0.2017812581637546,"score_spread":0.1923120718006289,"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."}}