{"id":"W2025029329","doi":"10.1016/j.memsci.2006.12.006","title":"Pulse injection technique for membrane characterization: Ultrafiltration of dextran solutions","year":2006,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"McMaster University; Ontario Innovation Trust","keywords":"Ultrafiltration (renal); Dextran; Membrane; Characterization (materials science); Pulse (music); Chromatography; Materials science; Chemistry; Analytical Chemistry (journal); Chemical engineering; Biomedical engineering; Nanotechnology; Medicine; Engineering; Electrical engineering; Voltage; Biochemistry","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":[0.0003771344,0.0004618162,0.0004347355,0.0003610267,0.0004210064,0.0004273148,0.0005083214,0.0005023183,0.001520036],"category_scores_gemma":[0.0003947995,0.0002231726,0.0002328215,0.0004539053,0.0002672098,0.0006608275,0.0002925902,0.001239511,0.0005796629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005139342,"about_ca_system_score_gemma":0.0004312067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009651892,"about_ca_topic_score_gemma":0.001488646,"domain_scores_codex":[0.9998378,0.00001805772,0.000007466776,0.00004277726,0.00006049695,0.00003328175],"domain_scores_gemma":[0.999756,0.00007865154,0.00002558549,0.00003514309,0.00008111812,0.00002341807],"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":[0.00003623668,0.00001452497,0.00006732155,0.00003321687,0.000002612043,0.00001720936,0.00002143573,0.00001603863,0.995421,0.0001180672,0.00007241544,0.004180023],"study_design_scores_gemma":[0.000002671735,0.00004490821,0.0007104479,0.000001854606,0.000004622785,0.00006639619,0.000008424295,0.0005020389,0.9977598,0.00003569959,0.0008592683,0.000003902053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5224546,0.002925728,0.4688854,0.0004780813,0.0002368939,0.0002540822,0.0008760833,0.001200996,0.002688137],"genre_scores_gemma":[0.8117723,0.004112818,0.1756499,0.0003188654,0.0000611372,0.000276405,0.0008672936,0.0002386309,0.006702502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001520036,"threshold_uncertainty_score":0.005085051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151648875335072,"score_gpt":0.2497091795260976,"score_spread":0.2345442919925904,"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."}}