{"id":"W2775047419","doi":"10.1016/j.scitotenv.2017.12.022","title":"Probing molecular interaction mechanisms of organic fouling on polyamide membrane using a surface forces apparatus: Implication for wastewater treatment","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Calgary","keywords":"Adsorption; Fouling; Membrane; Polyamide; Chemical engineering; Surface forces apparatus; Chemistry; Thin-film composite membrane; Membrane fouling; Bovine serum albumin; Adhesion; Humic acid; Chromatography; Polymer chemistry; Reverse osmosis; Organic chemistry","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":[0.0005124017,0.0001500792,0.0001568899,0.00002835515,0.0006976346,0.00005093079,0.0009468279,0.00004083341,0.00005910655],"category_scores_gemma":[0.00006340575,0.00008512007,0.00009148836,0.0000923648,0.0009701841,0.0003154529,0.0004670947,0.00006136952,0.00002270305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003905782,"about_ca_system_score_gemma":0.00001782947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001105603,"about_ca_topic_score_gemma":0.000001941554,"domain_scores_codex":[0.9986843,0.00003173988,0.0002599694,0.0003334623,0.0004460045,0.000244488],"domain_scores_gemma":[0.9982938,0.00003881768,0.0005155638,0.001115079,0.000005743865,0.00003100303],"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":[0.00001850301,0.00003765162,0.000007256749,0.000004467429,0.000007176674,5.548286e-8,0.0002238851,0.2436268,0.7555422,0.000351998,8.841763e-7,0.0001791116],"study_design_scores_gemma":[0.0002040007,0.0001816408,0.0003588619,0.00002600294,0.00003207513,0.000005268115,0.0002976081,0.03033565,0.9665956,0.001865729,0.000007683032,0.00008987637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996369,0.000008316801,0.001722846,0.0006302285,0.0000915464,0.0009138169,0.000004561762,0.00001427871,0.00024541],"genre_scores_gemma":[0.9969591,0.00001120114,0.002723399,0.000006124189,0.000005594243,0.00002788521,7.582087e-7,0.00001133777,0.0002545486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2132912,"threshold_uncertainty_score":0.5365713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230349546482349,"score_gpt":0.2630695968597928,"score_spread":0.2407661013949693,"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."}}