{"id":"W2064241883","doi":"10.1016/j.memsci.2009.03.036","title":"CFD modeling of a transient hollow fiber ultrafiltration system for protein concentration","year":2009,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Concentration polarization; Laminar flow; Mechanics; Computational fluid dynamics; Hollow fiber membrane; Chemistry; Ultrafiltration (renal); Viscosity; Materials science; Thermodynamics; Membrane; Fiber; Chromatography; Composite material; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001529681,0.0001150065,0.000235614,0.0001083404,0.0001583116,0.00005032955,0.0005056838,0.00006245316,0.00006635177],"category_scores_gemma":[0.0002418618,0.00009230774,0.0001017706,0.0005867115,0.0002747125,0.001050145,0.00001213596,0.0001167735,0.000008877274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907827,"about_ca_system_score_gemma":0.0001165211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007149899,"about_ca_topic_score_gemma":0.000002319113,"domain_scores_codex":[0.9979286,0.00003282103,0.0006838485,0.0002139249,0.0008939484,0.0002469226],"domain_scores_gemma":[0.9990329,0.00002659557,0.0005095651,0.0001967354,0.0001437781,0.00009047191],"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":[0.00007749299,0.0000450485,0.00001033501,0.00002505025,0.000002350898,0.000001353045,0.0002750379,0.1226055,0.873323,0.0004383759,0.00002300709,0.003173502],"study_design_scores_gemma":[0.0006768976,0.0004830286,0.0001902487,0.0001078523,0.00001634631,0.00004762997,0.0003057376,0.1294366,0.8683049,0.000227627,0.00009728629,0.0001058288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653831,0.00003077794,0.03046061,0.0006048605,0.000127634,0.0005713929,0.000003019392,0.00003175959,0.002786871],"genre_scores_gemma":[0.9874704,0.000007558651,0.0123796,0.00003098445,0.00002982303,0.000005980075,6.1535e-7,0.000004412386,0.00007054963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0220874,"threshold_uncertainty_score":0.3764201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711237871792218,"score_gpt":0.2514573731308959,"score_spread":0.2343449944129737,"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."}}