{"id":"W3001170645","doi":"10.1007/s10570-020-02966-5","title":"Oxidized bacterial cellulose membrane as support for enzyme immobilization: properties and morphological features","year":2020,"lang":"en","type":"article","venue":"Cellulose","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Bacterial cellulose; Covalent bond; Membrane; Cellulose; Thermal stability; Crystallinity; Immobilized enzyme; Fourier transform infrared spectroscopy; Surface modification; Chemical modification; Materials science; Chemical engineering; Thermal oxidation; Chemistry; Ultimate tensile strength; Biomolecule; Thermogravimetric analysis; Nuclear chemistry; Polymer chemistry; Oxide; Organic chemistry; Enzyme; Nanotechnology; Biochemistry; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001480335,0.0001653613,0.000127494,0.0001247414,0.0001070809,0.0002389328,0.0001836145,0.0002172383,0.000465974],"category_scores_gemma":[0.0001784441,0.0001071707,0.0001284877,0.0001758163,0.0001396638,0.0002259724,0.00008814585,0.0002384107,0.0001339827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536261,"about_ca_system_score_gemma":0.0001176068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007778488,"about_ca_topic_score_gemma":0.0008222845,"domain_scores_codex":[0.9999453,0.00000563042,0.000003762344,0.00001013849,0.0000207576,0.00001436631],"domain_scores_gemma":[0.9999278,0.00002259236,0.0000160014,0.000007092498,0.00001381381,0.00001279042],"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":[0.00003605781,0.000007289044,0.0001089159,0.00001813727,0.000001920632,0.00002204948,0.000008506053,0.00002404388,0.9992095,0.00002920566,0.000006683671,0.000527609],"study_design_scores_gemma":[0.000001927403,0.0000446947,0.002612768,0.000002059421,0.000005273964,0.00007393547,0.00001825248,0.0002729495,0.9966201,0.00001110455,0.000334758,0.000002279487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964103,0.001027724,0.001593522,0.00003737429,0.0000108148,0.00000471808,0.00009680397,0.00001090978,0.0008078461],"genre_scores_gemma":[0.9972743,0.000470343,0.001292885,0.00001113652,0.000004772657,0.000003884319,0.0001244639,0.000006897459,0.0008112121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007778488,"threshold_uncertainty_score":0.001558781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04915753240620298,"score_gpt":0.2796026617676447,"score_spread":0.2304451293614417,"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."}}