{"id":"W2015004151","doi":"10.1016/j.memsci.2013.01.003","title":"A mechanistic model for ultrafiltration membrane fouling by latex","year":2013,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Membrane fouling; Ultrafiltration (renal); Fouling; Membrane; Permeation; Chemistry; Volumetric flow rate; Chromatography; Chemical engineering; Coagulation; Thermodynamics; Biochemistry; Engineering","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":[0.000667805,0.00101818,0.001214343,0.0007721886,0.001113607,0.001597505,0.003344026,0.003353444,0.005155493],"category_scores_gemma":[0.00100063,0.0005861321,0.001652861,0.0004735669,0.0008299667,0.002834618,0.0009675618,0.001554115,0.001207539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200556,"about_ca_system_score_gemma":0.001777424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009729932,"about_ca_topic_score_gemma":0.004051926,"domain_scores_codex":[0.9997584,0.00004100832,0.00001705456,0.0000538817,0.00007371121,0.00005600738],"domain_scores_gemma":[0.999643,0.000160958,0.00003921405,0.00002503097,0.00009706201,0.00003471913],"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":[0.0001334186,0.0003578428,0.001037176,0.0005865426,0.0001131357,0.000752021,0.0004117712,0.7675218,0.05162856,0.1674794,0.002382608,0.007595701],"study_design_scores_gemma":[0.0000316698,0.00005312061,0.0002859896,0.00001839446,0.00002680711,0.00008561159,0.00004880277,0.9759863,0.003191962,0.01861635,0.001627443,0.00002760198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3656776,0.003976125,0.5240444,0.01118105,0.0009359543,0.0006628901,0.002041759,0.0007051235,0.09077515],"genre_scores_gemma":[0.9343867,0.001781929,0.01392394,0.0005630947,0.0001242436,0.0004729159,0.0003100483,0.0001022273,0.04833496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009729932,"threshold_uncertainty_score":0.01934659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643488269607282,"score_gpt":0.2536006713978868,"score_spread":0.237165788701814,"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."}}