{"id":"W3208970321","doi":"10.1021/acsanm.1c01698","title":"Dielectrorheology of Aspect-Ratio-Tailored Carbon Nanotube/Polyethylene Composites under Large Deformations: Implications for High-Temperature Dielectrics","year":2021,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Calgary","funders":"","keywords":"Materials science; Nanocomposite; Carbon nanotube; Composite material; Rheology; Dielectric; Polymer nanocomposite; Polymer; Nanomaterials; Aspect ratio (aeronautics); Nanotechnology","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":[0.0001508539,0.0002868557,0.0001287256,0.0001407518,0.00010325,0.0001859491,0.0001316946,0.0002442153,0.0004689148],"category_scores_gemma":[0.0002272316,0.0001091095,0.0001156084,0.0001061315,0.0002063446,0.0003511211,0.0001141517,0.0003210528,0.0001079386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009427832,"about_ca_system_score_gemma":0.00006282668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001089692,"about_ca_topic_score_gemma":0.000324417,"domain_scores_codex":[0.9999281,0.000008717763,0.00000468334,0.00001938247,0.0000270896,0.00001204143],"domain_scores_gemma":[0.9998537,0.0000437411,0.00004712693,0.00001295907,0.00002531975,0.00001719845],"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":[0.00001144114,0.000005477184,0.0001117541,0.00001931694,0.000001528057,0.00002873437,0.00001495034,0.00006293144,0.9990527,0.00002880126,0.000006406646,0.0006559017],"study_design_scores_gemma":[0.000001669615,0.00005846342,0.002773955,0.000002336766,0.000003719343,0.00009360496,0.00002792643,0.001155751,0.9954767,0.00002746498,0.0003741866,0.000004295321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936227,0.0007385409,0.004787493,0.00005244519,0.00002171026,0.0000118109,0.0000638551,0.00004426455,0.0006572391],"genre_scores_gemma":[0.996734,0.000412659,0.002374859,0.00002049618,0.000007906647,0.000009241285,0.00003800532,0.00001286012,0.0003899579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004689148,"threshold_uncertainty_score":0.001568675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005970382851242933,"score_gpt":0.2060933985334941,"score_spread":0.2001230156822512,"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."}}