{"id":"W2609878217","doi":"10.1016/j.ijbiomac.2017.04.074","title":"Thermal and dynamic mechanical properties of cellulose nanofibers reinforced epoxy composites","year":2017,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":289,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Institute of Population and Public Health; Universiti Putra Malaysia; King Saud University","keywords":"Epoxy; Dynamic mechanical analysis; Materials science; Composite material; Thermal stability; Nanocomposite; Glass transition; Dynamic modulus; Carbon nanofiber; Polymer; Carbon nanotube; Chemical engineering","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":[0.0001341514,0.0002209012,0.0001179885,0.0002371403,0.0001551474,0.0001188873,0.0001072999,0.0001860061,0.002962054],"category_scores_gemma":[0.0002213957,0.0001403278,0.0001628106,0.0001383749,0.0001738985,0.0002514065,0.00007782582,0.0002565953,0.0002125547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583139,"about_ca_system_score_gemma":0.00009990211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006975241,"about_ca_topic_score_gemma":0.001510959,"domain_scores_codex":[0.9998828,0.000006954348,0.000007641806,0.00002723073,0.00004503275,0.00003029281],"domain_scores_gemma":[0.9998,0.0000546231,0.00004720806,0.00001469345,0.00005324435,0.00003026117],"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":[0.000131643,0.00002008154,0.00044262,0.00002741433,0.00000350344,0.00006974266,0.00003732821,0.0004734786,0.9972453,0.00004950672,0.00003953526,0.001459983],"study_design_scores_gemma":[0.0000039659,0.0001759673,0.01453947,0.000005717217,0.00001020438,0.0000688166,0.00006013285,0.002087918,0.9824657,0.00002328025,0.0005461972,0.00001252935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982446,0.0002380383,0.0004698542,0.00001196991,0.0000147311,0.000003237901,0.00009042906,0.00001267821,0.0009144176],"genre_scores_gemma":[0.9980075,0.00008842091,0.0002523234,0.000008631092,0.000003595049,0.000004942551,0.00007392953,0.000008243836,0.001552494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002962054,"threshold_uncertainty_score":0.009909034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001593889803761,"score_gpt":0.2625405333476443,"score_spread":0.2425245944496067,"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."}}