{"id":"W2561664000","doi":"10.1002/cjce.22760","title":"Chitosan/sericin blend membranes for adsorption of bovine serum albumin","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Sericin; Chitosan; Membrane; Bovine serum albumin; Desorption; Chemistry; Chromatography; Chemical engineering; Nuclear chemistry; Polymer chemistry; Materials science; Organic chemistry; SILK; Biochemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002168535,0.00009121167,0.0001986708,0.00007805142,0.00002937271,0.00001643359,0.0002219897,0.00003622222,0.00008693794],"category_scores_gemma":[0.0003372495,0.00005356697,0.00007943648,0.0000707923,0.00005372286,0.0001416237,0.00001236735,0.00007296127,0.000004203864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006873348,"about_ca_system_score_gemma":0.0001294887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003267027,"about_ca_topic_score_gemma":0.0001650454,"domain_scores_codex":[0.9992695,0.00001059267,0.0003095351,0.00006744577,0.0001217478,0.0002211061],"domain_scores_gemma":[0.9992991,0.0001967479,0.0001591551,0.0001070696,0.00007962291,0.0001582898],"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":[0.00002611687,0.000002641736,0.00004188826,0.00003281972,0.0000198535,0.000001322057,0.0001156301,0.0002297167,0.9990012,0.00005658769,0.0001827141,0.0002895099],"study_design_scores_gemma":[0.000249291,0.00003401636,0.00008161287,0.0001329122,0.00002072018,0.00005279942,0.00001584515,0.000128607,0.9973559,0.00003604601,0.001822982,0.00006930188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948533,0.0006286326,0.0008340203,0.002946421,0.0005921147,0.00005488742,0.0000313662,0.000007794433,0.0000514844],"genre_scores_gemma":[0.9993623,0.000005935435,0.0003574447,0.00003081956,0.0001839348,0.000002765529,1.65628e-7,0.00001295151,0.00004366994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004509034,"threshold_uncertainty_score":0.2184398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192008504384441,"score_gpt":0.2179252504438576,"score_spread":0.2060051654000132,"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."}}