{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001013879,0.0003371677,0.0002837077,0.0003684702,0.0001962842,0.0001756238,0.0001716416,0.0001018583,0.00006363041],"category_scores_gemma":[0.000008733525,0.000394704,0.0000684257,0.0005834507,0.0000614387,0.0002316643,0.00007187262,0.0001505676,0.0002574382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000083676,"about_ca_system_score_gemma":0.00001719353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004025653,"about_ca_topic_score_gemma":0.00000109648,"domain_scores_codex":[0.9986681,0.00001841592,0.0003529801,0.0003360909,0.0002041566,0.0004202658],"domain_scores_gemma":[0.9991567,0.0002305448,0.00003742956,0.0003684813,0.0000570684,0.0001497516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007857308,0.00001193379,0.0001584982,0.0001247769,0.00006813503,0.000002614604,0.0001585165,0.4646367,0.5321422,0.001374226,0.001167498,0.000147078],"study_design_scores_gemma":[0.0005024391,0.00004137445,0.006342597,0.0001137474,0.0000612647,0.00003227838,0.00005097135,0.5955382,0.3792545,0.00003969777,0.01731555,0.0007074019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769002,0.00498069,0.1068176,0.0003004768,0.001003518,0.00108242,0.0002002107,0.007219451,0.001495467],"genre_scores_gemma":[0.993861,0.00007815997,0.004468705,0.00002647903,0.0003082785,0.0004801032,0.000444057,0.0001017846,0.0002314785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1528877,"threshold_uncertainty_score":0.9998505,"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."}}