{"id":"W3006217703","doi":"10.1021/acs.biomac.9b01733","title":"Cogrinding Wood Fibers and Tannins: Surfactant Effects on the Interactions and Properties of Functional Films for Sustainable Packaging Materials","year":2020,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Academy of Finland; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; H2020 European Research Council; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Acacia mearnsii; Chemistry; Pulmonary surfactant; Chemical engineering; Tannin; Cellulose fiber; Cellulose; Proanthocyanidin; Context (archaeology); Adsorption; Polyphenol; Fiber; Organic chemistry; Materials science; Antioxidant; Botany","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":[0.0001801413,0.0003676803,0.0001247532,0.000119465,0.0001073729,0.0002290889,0.0001060953,0.0002110935,0.000918938],"category_scores_gemma":[0.000162524,0.00009015917,0.0001045978,0.0001094208,0.0001164691,0.0002361131,0.0001300994,0.0002296983,0.000164336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157709,"about_ca_system_score_gemma":0.00009971034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003593075,"about_ca_topic_score_gemma":0.001028298,"domain_scores_codex":[0.9999144,0.0000155863,0.000007716072,0.00001795122,0.00002208661,0.00002230336],"domain_scores_gemma":[0.9999212,0.0000255213,0.000020527,0.000005506834,0.00001412558,0.0000130605],"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":[0.00001905231,0.000006423435,0.00004835205,0.00002946457,0.000001879315,0.00001544324,0.000009892177,0.00003054748,0.9989128,0.00003217769,0.00000633967,0.0008876306],"study_design_scores_gemma":[0.000001124064,0.00006654386,0.0007238336,0.000003805816,0.000004528255,0.00002449955,0.000009152081,0.0002376856,0.9984686,0.00001241295,0.0004460035,0.000001891806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993714,0.003102518,0.001943272,0.00004036878,0.00001988262,0.0000136765,0.00005293442,0.00001929318,0.001094026],"genre_scores_gemma":[0.9962536,0.001429749,0.001420518,0.00002282056,0.00000579633,0.000009121786,0.00004226448,0.0000103911,0.0008056777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000918938,"threshold_uncertainty_score":0.00307411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362256423109463,"score_gpt":0.2646861673415208,"score_spread":0.2284605250305745,"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."}}