{"id":"W2321051485","doi":"10.1021/acs.jpcc.5b00739","title":"Molecular and Surface Interactions between Polymer Flocculant Chitosan-<i>g</i>-polyacrylamide and Kaolinite Particles: Impact of Salinity","year":2015,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Centre for Clean Coal/Carbon and Mineral Processing Technologies; Alberta Innovates","keywords":"Kaolinite; Flocculation; Chemical engineering; Polyacrylamide; Quartz crystal microbalance; Polymer; Adsorption; Zeta potential; Materials science; Suspension (topology); DLVO theory; Polymer adsorption; Colloid; Chemistry; Polymer chemistry; Nanoparticle; Mineralogy; Nanotechnology; Composite material; 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":[0.0001704417,0.00008465592,0.0001814178,0.000005779481,0.00004688559,0.00001084868,0.00007762168,0.00001702224,0.00002463235],"category_scores_gemma":[0.00006083266,0.00005262087,0.00007257766,0.00009358276,0.000234539,0.0001007793,0.0001053901,0.0001301451,0.000002321616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000227584,"about_ca_system_score_gemma":0.00001391768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007624765,"about_ca_topic_score_gemma":0.000001056886,"domain_scores_codex":[0.9993696,0.00005045015,0.0002117564,0.00006392062,0.0002144286,0.0000899013],"domain_scores_gemma":[0.999393,0.0001551369,0.0001960258,0.0001013735,0.00002072788,0.000133679],"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":[0.00005497654,0.00005398551,0.07459279,0.000004866604,0.00007061211,0.000001276839,0.001260143,0.005441529,0.917903,0.000003324092,0.00008499099,0.0005284997],"study_design_scores_gemma":[0.0007817981,0.0001254707,0.2421513,0.00002672785,0.0001770862,0.00004794302,0.0006282896,0.006341041,0.7488436,0.000666148,0.00006338424,0.000147248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990284,0.0001225429,0.0001428196,0.0002107553,0.000009287546,0.00002833496,0.000007129052,0.000003785897,0.0004468719],"genre_scores_gemma":[0.9998479,0.000008141611,0.00003354063,0.00001581439,0.0000749952,1.822415e-7,7.438234e-7,0.000004555128,0.00001409683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1690594,"threshold_uncertainty_score":0.2145817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606631175324786,"score_gpt":0.3057092298771689,"score_spread":0.2796429181239211,"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."}}