{"id":"W4287377516","doi":"10.1021/acssuschemeng.2c02678","title":"Nanocellulose Removes the Need for Chemical Crosslinking in Tannin-Based Rigid Foams and Enhances Their Strength and Fire Retardancy","year":2022,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Horizon 2020 Framework Programme; Centro Nacional de Pesquisa em Energia e Materiais; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Laboratório Nacional de Nanotecnologia; Canada Foundation for Innovation; Academy of Finland; European Commission; Canada Excellence Research Chairs, Government of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Nanocellulose; Furfuryl alcohol; Materials science; Cellulose; Tannin; Composite material; Polymerization; Pyrolysis; Thermal insulation; Microstructure; Thermal stability; Chemical engineering; Polymer; Organic chemistry; Layer (electronics); Chemistry; Catalysis","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":[0.0005953743,0.0002531745,0.0002838148,0.00003391906,0.0005069687,0.0001209021,0.0003208789,0.0000553641,0.00002687554],"category_scores_gemma":[0.0005844025,0.0002118499,0.00004271459,0.0002683636,0.0001763451,0.0001600887,0.0005016326,0.0003258898,1.555669e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441744,"about_ca_system_score_gemma":0.0001009784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002229615,"about_ca_topic_score_gemma":2.430221e-7,"domain_scores_codex":[0.9982382,0.00002197697,0.0002632153,0.0004580583,0.0002463266,0.0007722403],"domain_scores_gemma":[0.9989376,0.0005335549,0.0000812976,0.0002796976,0.0000840067,0.00008382573],"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":[0.00005409356,0.00002758533,0.00008385053,0.0007711764,0.00001044537,0.0000374392,0.0007120764,0.004818207,0.9928643,0.000102756,0.0000258583,0.000492211],"study_design_scores_gemma":[0.0005767201,0.00002954269,0.00004258231,0.00004948107,0.000007984288,0.00001153854,0.005249033,0.009637913,0.9801126,0.0006124791,0.003418606,0.0002515627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993584,0.005145288,0.0003096685,0.0003545375,0.0000382545,0.0003785016,0.00002480041,0.00008145787,0.0000835306],"genre_scores_gemma":[0.9977466,0.0001022573,0.0009941779,0.00002141445,0.00007935613,0.0003811929,0.00001478245,0.00003503692,0.0006251804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275174,"threshold_uncertainty_score":0.8638987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006414975822500955,"score_gpt":0.2237668109070127,"score_spread":0.2173518350845118,"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."}}