{"id":"W4389804561","doi":"10.1016/j.compositesb.2023.111151","title":"Aramid nanofiber-based functional composite materials: Preparations, applications and perspectives","year":2023,"lang":"en","type":"article","venue":"Composites Part B Engineering","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"China Scholarship Council; Key Technology Research and Development Program of Shandong; National Natural Science Foundation of China; Canada Research Chairs; Government of Canada","keywords":"Aramid; Materials science; Nanofiber; Composite material; Ultimate tensile strength; Nanotechnology; Nanomaterials","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":[0.0004386118,0.000428606,0.000141632,0.0003094324,0.0002031231,0.000342676,0.0002795916,0.0004203415,0.001625756],"category_scores_gemma":[0.0001500318,0.0001571577,0.0001671566,0.0001542349,0.0002705578,0.0006826001,0.0001131265,0.0003550864,0.0003991669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204708,"about_ca_system_score_gemma":0.0001902678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007401021,"about_ca_topic_score_gemma":0.001104116,"domain_scores_codex":[0.9999356,0.00001156721,0.000003318965,0.00001143634,0.00002190584,0.00001613683],"domain_scores_gemma":[0.9999344,0.0000228174,0.00001299713,0.000006029155,0.00001413189,0.000009482471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001067781,0.00007920065,0.0001058866,0.0002035026,0.000005183078,0.00007323285,0.00003992673,0.0004109725,0.9828917,0.001348958,0.0002022018,0.01453253],"study_design_scores_gemma":[0.000007991436,0.0003007431,0.0009151621,0.0000140354,0.000008338763,0.0002013146,0.00002581799,0.0009492985,0.9846286,0.0002805186,0.01265498,0.00001319464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.777007,0.1247219,0.06195368,0.001049299,0.0002821311,0.000114678,0.0004194247,0.0004655501,0.03398636],"genre_scores_gemma":[0.9148543,0.03843001,0.03114982,0.0002922741,0.0001857686,0.00007609895,0.0003165924,0.0000821764,0.01461303],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001625756,"threshold_uncertainty_score":0.005438685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465783983131881,"score_gpt":0.2049815935028286,"score_spread":0.1903237536715098,"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."}}