{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001784313,0.0001406507,0.0001697603,0.00006341,0.0004757115,0.00005314482,0.0001103944,0.00003479606,0.002089527],"category_scores_gemma":[0.0000454708,0.0001380878,0.00002657283,0.0001222759,0.0001208809,0.0002975846,0.0003016568,0.0001708079,0.00001479934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006299254,"about_ca_system_score_gemma":0.0000228818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004046068,"about_ca_topic_score_gemma":0.00001104984,"domain_scores_codex":[0.9986612,0.0001418579,0.0001718777,0.000399213,0.0003217951,0.0003040202],"domain_scores_gemma":[0.9994354,0.0001649828,0.000105365,0.0001616679,0.00001713119,0.0001154226],"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":[0.00009337774,0.00002606904,0.0001334742,0.000008262898,0.0000147784,0.00001243717,0.000454273,0.000009284671,0.9873807,0.0001080669,0.00004534432,0.0117139],"study_design_scores_gemma":[0.0005997539,0.0001288756,0.004557988,0.00001170195,0.00003556434,0.00002261925,0.001846496,0.001242247,0.9879686,0.0002885062,0.0029908,0.0003068868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970306,0.00104272,0.0004368819,0.0004207474,0.0003597245,0.0001782552,0.000136,0.00007047815,0.0003245833],"genre_scores_gemma":[0.9984007,0.0002871581,0.0004793895,0.0001199214,0.0000771206,0.00006491587,0.00006615424,0.00002098622,0.0004835983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140701,"threshold_uncertainty_score":0.9988227,"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."}}