{"id":"W4287218444","doi":"10.3390/polym14152999","title":"Hemicellulose Films from Curaua Fibers (Ananas erectifolius): Extraction and Thermal and Mechanical Characterization","year":2022,"lang":"en","type":"article","venue":"Polymers","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Apoio à Pesquisa do Distrito Federal; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Alberta Agriculture and Forestry","keywords":"Hemicellulose; Biopolymer; Lignin; Materials science; Thermal stability; Polylactic acid; Polymer; Chemical engineering; Chemistry; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009101313,0.0003463399,0.0001172479,0.0003543343,0.0001386034,0.0001587377,0.0001028303,0.0001787806,0.000492958],"category_scores_gemma":[0.00007888902,0.00009643142,0.0001569865,0.0002559691,0.00008737584,0.0001923443,0.00007372887,0.0002484851,0.0001249213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067935,"about_ca_system_score_gemma":0.0001084601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211313,"about_ca_topic_score_gemma":0.003029818,"domain_scores_codex":[0.9999617,0.000002979605,0.000002676482,0.000008786139,0.00001364451,0.00001032015],"domain_scores_gemma":[0.9999462,0.00001035661,0.00001526883,0.000003561039,0.00001197586,0.00001270102],"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":[0.000006935984,0.000004514643,0.00006072549,0.00001515571,0.00000108203,0.00002214388,0.000006323536,0.00001207049,0.9993703,0.000005445877,0.000002943767,0.0004924343],"study_design_scores_gemma":[0.000001862811,0.00005596668,0.007752508,0.00000495743,0.000008335358,0.00008705828,0.00002072296,0.0001592031,0.9911696,0.00001063401,0.0007256573,0.000003423272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955825,0.001321279,0.001608651,0.00002612872,0.00000708312,0.0000238401,0.0003305093,0.00003019923,0.001069805],"genre_scores_gemma":[0.9916798,0.00109783,0.003732749,0.00003806469,0.000006944448,0.00003257525,0.0006474018,0.00002928125,0.002735201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001211313,"threshold_uncertainty_score":0.002408445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398184249353151,"score_gpt":0.2619472511209623,"score_spread":0.2479654086274308,"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."}}