{"id":"W2083859288","doi":"10.1002/cjce.5450850502","title":"Initial Deposition of Colloidal Particles on a Rough Nanofiltration Membrane","year":2007,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nanofiltration; Membrane; Reverse osmosis; Particle deposition; Surface roughness; Chemical engineering; Colloid; Membrane fouling; Deposition (geology); Cross-flow filtration; Permeation; Filtration (mathematics); Fouling; Particle (ecology); Materials science; Drag; Surface finish; Ultrafiltration (renal); Polystyrene; Chemistry; Chromatography; Composite material; Polymer; Mechanics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003148481,0.00006165498,0.00009091845,0.00005451219,0.00003595173,0.00001410066,0.000168411,0.00005661157,0.00008669985],"category_scores_gemma":[0.0001851134,0.00004797488,0.00003868485,0.000170343,0.00009063271,0.0001018434,0.000008076188,0.0001449315,0.000007478023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694708,"about_ca_system_score_gemma":0.00003875842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005300433,"about_ca_topic_score_gemma":0.000592134,"domain_scores_codex":[0.9993461,0.000007571388,0.0002537865,0.00004981104,0.0001845623,0.0001581347],"domain_scores_gemma":[0.999607,0.00007580042,0.00009834852,0.0000850959,0.00001488066,0.0001188638],"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":[0.00002030363,0.000005969367,0.0001232795,0.00000411983,0.000006616573,0.00001214933,0.0001545843,0.0256872,0.9723231,0.0004338663,0.00006524083,0.001163641],"study_design_scores_gemma":[0.0001403752,0.00005004264,0.0004841006,0.00002085058,0.00000772457,0.00005538133,0.00001539137,0.001691406,0.9972551,0.0001252774,0.0001037369,0.00005064467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979049,0.00001616583,0.0010492,0.0003305617,0.00007514332,0.00004913563,0.000001324573,0.000009447011,0.0005641386],"genre_scores_gemma":[0.9987565,5.766141e-7,0.001132108,0.00005218581,0.00004600315,7.151392e-7,6.427184e-7,0.000005900571,0.000005340487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02493204,"threshold_uncertainty_score":0.1956359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044599938261286,"score_gpt":0.213211361648345,"score_spread":0.2027653622657321,"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."}}