{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004241593,0.0003965003,0.0005982891,0.00005849659,0.000288188,0.0001984745,0.0004030977,0.0001781453,0.002201489],"category_scores_gemma":[0.001005317,0.0003002215,0.0001266178,0.0002026022,0.0005892443,0.0003540106,0.0004509162,0.0002017552,0.0003499749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005491769,"about_ca_system_score_gemma":0.0001383594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001828711,"about_ca_topic_score_gemma":0.000003287397,"domain_scores_codex":[0.9972477,0.0001743145,0.0004720383,0.0009109674,0.000461954,0.0007330595],"domain_scores_gemma":[0.9986422,0.0002493159,0.0001547862,0.0003139161,0.0002131498,0.0004266356],"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":[0.001201925,0.00009596098,0.00001044577,0.0003129444,0.00002236862,0.0001029861,0.0009857705,0.00002327848,0.9930251,0.0006537483,0.003322847,0.0002426016],"study_design_scores_gemma":[0.001737724,0.0007304182,0.00003139642,0.00002215914,0.00003993107,0.00004067281,0.0002588295,0.0002100335,0.9718403,0.0003418695,0.02436226,0.0003843522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911749,0.001734033,0.001379882,0.002118707,0.0004227599,0.001582516,0.00008316159,0.0003037503,0.001200285],"genre_scores_gemma":[0.9898111,0.000318002,0.003496108,0.0005941206,0.0006264634,0.0003074712,0.00009174753,0.0000599326,0.004695046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02118477,"threshold_uncertainty_score":0.999945,"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."}}