{"id":"W2067774762","doi":"10.1109/ams.2010.83","title":"Modeling the Rejection Performance of Hollow Fiber Nanofiltration Membranes Modified by Negatively Charged-Modifying Macromolecule","year":2010,"lang":"en","type":"article","venue":"","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Universiti Malaysia Sabah; Universiti Teknologi Malaysia","keywords":"Membrane; Sulfonate; Nanofiltration; Phase inversion; Steric effects; Macromolecule; Chemical engineering; Carboxylate; Materials science; Fiber; Polyelectrolyte; Chemistry; Polymer chemistry; Sodium; Polymer; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001846713,0.0002999565,0.0002593347,0.0001263084,0.0001362307,0.0002142366,0.0003494722,0.0005293546,0.0004260797],"category_scores_gemma":[0.0002851578,0.0001245583,0.0005025003,0.00012737,0.00009596157,0.0003380573,0.00008604019,0.0001748115,0.0001503105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005798165,"about_ca_system_score_gemma":0.0003735495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007338258,"about_ca_topic_score_gemma":0.003660064,"domain_scores_codex":[0.9999365,0.000009685463,0.000003963395,0.0000123913,0.00002193173,0.0000156103],"domain_scores_gemma":[0.9999381,0.00002608643,0.00001159815,0.000003411622,0.00001797303,0.000002814756],"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":[0.0001500981,0.00006314262,0.001922171,0.0001591003,0.00002792019,0.00017741,0.00005886662,0.6626056,0.3281276,0.001474379,0.0001117634,0.005122042],"study_design_scores_gemma":[0.000009059264,0.00009122349,0.0008792179,0.000004440634,0.00001213264,0.00002898815,0.00001290744,0.9247909,0.07364163,0.0002277363,0.0002945337,0.00000725564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643867,0.0001941143,0.03321782,0.00005807446,0.000007813904,0.00002178232,0.0001493749,0.00006269974,0.001901618],"genre_scores_gemma":[0.9926201,0.0002272903,0.005336221,0.00001197965,0.000002430645,0.00002887135,0.0001225563,0.00001100055,0.001639521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007338258,"threshold_uncertainty_score":0.0145911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457821863227982,"score_gpt":0.2322897375319927,"score_spread":0.2177115188997129,"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."}}