{"id":"W2257060218","doi":"10.1016/j.carbpol.2016.02.011","title":"Fabrication of flexible self-standing all-cellulose nanofibrous composite membranes for virus removal","year":2016,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates Bio Solutions; China Scholarship Council; Canada Foundation for Innovation; Alberta Barley; Canada Research Chairs; Alberta Crop Industry Development Fund","keywords":"Cellulose; Membrane; Regenerated cellulose; Materials science; Coating; Nanocomposite; Nanofiber; Chemical engineering; Aqueous solution; Fabrication; Composite number; Filtration (mathematics); Porosity; Composite material; Chemistry; 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":[0.0003594263,0.0002374948,0.0003761479,0.0001779551,0.0001656275,0.00003334725,0.0003320852,0.00007774368,0.0001422849],"category_scores_gemma":[0.0001001771,0.0001734802,0.0001272664,0.0002795837,0.0002785469,0.000321566,0.0001387233,0.00004394697,0.00005911784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001990502,"about_ca_system_score_gemma":0.00007840427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001067953,"about_ca_topic_score_gemma":0.000003954045,"domain_scores_codex":[0.99796,0.0001022935,0.0004197881,0.0004731559,0.000395424,0.0006493559],"domain_scores_gemma":[0.9985387,0.0004264047,0.0002581021,0.0004116164,0.0002060394,0.0001590754],"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":[0.000174751,0.00005709336,0.00003550382,0.0001629571,0.00007170537,0.00001155217,0.0004446264,0.00001278241,0.9955092,0.0008873973,0.00009810186,0.002534341],"study_design_scores_gemma":[0.0007574046,0.0001195586,0.00002384142,0.00007042533,0.00005669892,0.000005734581,0.0001307517,0.0002040915,0.9951937,0.0004509299,0.002745227,0.0002416888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711499,0.005680502,0.01844788,0.0003827146,0.0007865977,0.0007751058,0.0001785795,0.0003056846,0.002292998],"genre_scores_gemma":[0.9908181,0.000563889,0.005896856,0.00004142723,0.0001440629,0.0001222207,0.00001231881,0.00005151666,0.002349549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01966823,"threshold_uncertainty_score":0.7074317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849925398682002,"score_gpt":0.292294767055414,"score_spread":0.2637955130685939,"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."}}