{"id":"W3040282829","doi":"10.1016/j.physe.2020.114318","title":"Reliability evaluation based on modal parameters of carbon-nanotube-reinforced-polymer-composite material using multiscale finite element model","year":2020,"lang":"en","type":"article","venue":"Physica E Low-dimensional Systems and Nanostructures","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Consejo Nacional de Ciencia y Tecnología; Concordia University","keywords":"Materials science; Finite element method; Monte Carlo method; Micromechanics; Representative elementary volume; Carbon nanotube; Structural engineering; Composite material; Composite number; Engineering; Mathematics","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":[0.0003450605,0.0004455891,0.0004009274,0.000725982,0.0002450172,0.0003059839,0.0005291775,0.0007591,0.001022855],"category_scores_gemma":[0.0007164829,0.0002804756,0.0005894852,0.0003238441,0.00029104,0.0005212181,0.0002273434,0.0002379826,0.0001588743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003966622,"about_ca_system_score_gemma":0.0003538759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265304,"about_ca_topic_score_gemma":0.002626684,"domain_scores_codex":[0.9998446,0.00003018893,0.000008275331,0.00002718158,0.00007301287,0.00001678657],"domain_scores_gemma":[0.9996243,0.0001763976,0.00005636388,0.00002997491,0.000100536,0.00001237683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003625607,0.00002914485,0.001290329,0.00005557502,0.00002074353,0.00007185148,0.00003626956,0.9731302,0.01733918,0.001132211,0.000138132,0.006720077],"study_design_scores_gemma":[6.834642e-7,0.000009400534,0.0004450484,0.000002982102,0.000005187647,0.00001069299,0.000005246846,0.998187,0.001128045,0.0001322287,0.00007011584,0.00000335581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5223153,0.0006179239,0.4673769,0.0001406243,0.0000453849,0.00006653173,0.000261173,0.0005837841,0.008592448],"genre_scores_gemma":[0.9888262,0.00008346936,0.01018645,0.000007546831,0.000004394808,0.00002993444,0.00006712985,0.0000234936,0.0007715616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002265304,"threshold_uncertainty_score":0.004504204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824574441484587,"score_gpt":0.2516229340913035,"score_spread":0.2333771896764576,"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."}}