{"id":"W4312537805","doi":"10.1007/978-3-030-91346-5_25","title":"Characterization of the Dynamic Response of CNT-Reinforced-Polymer-Composite (CNTRPC) Materials Based on a Multiscale Approach","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Representative elementary volume; Carbon nanotube; Nanocomposite; Composite material; Finite element method; Viscoelasticity; Multiscale modeling; Polymer nanocomposite; van der Waals force; Micromechanics; Material properties; Composite number; Structural engineering; Engineering; Microstructure","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":[0.0001209195,0.0002051917,0.0001862377,0.0002600875,0.0001445161,0.0001924191,0.0002063841,0.0003025156,0.001153385],"category_scores_gemma":[0.0001710335,0.000124339,0.0001449028,0.0002564897,0.0001850898,0.0002332831,0.000114616,0.0002670802,0.0002494137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142225,"about_ca_system_score_gemma":0.0001249599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006196095,"about_ca_topic_score_gemma":0.001479587,"domain_scores_codex":[0.9998746,0.000004506724,0.000003723763,0.00003866597,0.00006409475,0.00001439239],"domain_scores_gemma":[0.9999092,0.00003115004,0.00001834964,0.000009264308,0.0000238886,0.000008258568],"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":[0.000007369621,0.000006680973,0.00005650751,0.00001228968,9.281794e-7,0.00000854301,0.000005017891,0.0000845487,0.9987749,0.00003395597,0.00002385761,0.0009852948],"study_design_scores_gemma":[0.000001429186,0.00007943543,0.004303869,0.000003013004,0.000005209798,0.0000637908,0.00001274345,0.004155014,0.9903188,0.00003347073,0.001016951,0.000006321634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707764,0.001693732,0.02008154,0.00006127685,0.00006432111,0.00007762759,0.0008760038,0.0001935597,0.006175506],"genre_scores_gemma":[0.9728864,0.0007678638,0.02126249,0.00006940423,0.00002009173,0.000112462,0.0007055752,0.00005269321,0.004123089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001153385,"threshold_uncertainty_score":0.003858447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0088965290909585,"score_gpt":0.2148518895291295,"score_spread":0.205955360438171,"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."}}