{"id":"W2884590032","doi":"10.21452/bccm4.2018.10.07","title":"EFFECT OF FIBERS ALKALI TREATMENT ON THERMAL BEHAVIOUR OF CURAUÁ/ POLYESTER COMPOSITES","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 4th Brazilian Conference on Composite Materials","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Composite material; Materials science; Differential scanning calorimetry; Polyester; Glass transition; Thermal stability; Natural fiber; Composite number; Thermogravimetry; Thermal analysis; Fiber; Polyester resin; Thermal; Polymer; Chemical engineering; Chemistry; Organic chemistry","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":[0.0001281059,0.0003984487,0.0002040412,0.0003120691,0.0001770008,0.0001943219,0.0001054365,0.0001955462,0.001411243],"category_scores_gemma":[0.0001689318,0.0001918576,0.0002481541,0.0002256307,0.0001429854,0.0002434401,0.0001017668,0.0003712545,0.0002070614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530681,"about_ca_system_score_gemma":0.0001420161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259634,"about_ca_topic_score_gemma":0.003760478,"domain_scores_codex":[0.999867,0.000009637056,0.00001222901,0.00003243183,0.00005015941,0.00002853746],"domain_scores_gemma":[0.9998338,0.00003601162,0.00004508069,0.00001058725,0.00004487505,0.00002960535],"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":[0.0000545196,0.00001101192,0.0001227397,0.00004254669,0.000003534587,0.00002453178,0.0000206343,0.00006284462,0.9990121,0.000009270599,0.000007328096,0.0006288956],"study_design_scores_gemma":[0.000001814851,0.0001056416,0.003410283,0.000004788628,0.00001030599,0.00002924566,0.00002334696,0.0003044714,0.9956124,0.000006978485,0.0004857187,0.000004993566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970455,0.001194765,0.0005687783,0.00001842987,0.00001735645,0.00001286589,0.0001303285,0.00003956278,0.0009725036],"genre_scores_gemma":[0.9963537,0.0007464279,0.001185205,0.00002117472,0.000005763997,0.00001671336,0.0001132788,0.00002951103,0.001528143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001411243,"threshold_uncertainty_score":0.004721045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390726290385775,"score_gpt":0.2689635334736241,"score_spread":0.2550562705697663,"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."}}