{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000467198,0.0007797888,0.0005056028,0.0005058135,0.0002648348,0.0003387984,0.0003122712,0.0005282117,0.0007658913],"category_scores_gemma":[0.0004552141,0.000248929,0.0005437174,0.000374454,0.0001459794,0.0004517344,0.00024899,0.0004437194,0.0003184048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004136902,"about_ca_system_score_gemma":0.000278194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001709936,"about_ca_topic_score_gemma":0.002141196,"domain_scores_codex":[0.9996942,0.00003994334,0.00002670847,0.00005119434,0.0001277797,0.00006023866],"domain_scores_gemma":[0.9997723,0.0000579473,0.00004838465,0.00001444845,0.00007430851,0.00003271497],"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":[0.00002676106,0.000009530526,0.00003230279,0.00004108575,0.000004740345,0.00001708083,0.000004979488,0.00002691634,0.9992952,0.000007600449,0.00001017166,0.0005236029],"study_design_scores_gemma":[0.000006653226,0.0001475841,0.0008708265,0.00000479904,0.00002056472,0.00008125473,0.00001251777,0.0005459085,0.9978828,0.000005027366,0.0004171304,0.000004991697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855382,0.003250093,0.009377945,0.0001305126,0.00005191113,0.0000809129,0.0001236962,0.0001473172,0.001299329],"genre_scores_gemma":[0.9872293,0.002107161,0.008382768,0.00006915791,0.00001603534,0.0000396992,0.0001563024,0.00002841805,0.001971105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001709936,"threshold_uncertainty_score":0.003399968,"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."}}