{"id":"W2902599197","doi":"10.1139/tcsme-2017-518","title":"DYNAMIC RESPONSE OF FUNCTIONALLY GRADED NANOCOMPOSITE BEAMS SUBJECTED TO A MOVING LOAD USING A MESH-FREE METHOD","year":2017,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Carbon nanotube; Beam (structure); Nanocomposite; Structural engineering; Composite material; Material properties; Reinforcement; Mechanics; Position (finance); Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003624834,0.0001702609,0.0002901623,0.0001064868,0.0004037523,0.0000453654,0.0005284224,0.0001385922,0.00001551762],"category_scores_gemma":[0.000098195,0.000167086,0.0006496924,0.0002888042,0.00002193793,0.0001159041,0.00001833011,0.0001740015,1.593459e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006770317,"about_ca_system_score_gemma":0.0001856318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005749996,"about_ca_topic_score_gemma":0.01764225,"domain_scores_codex":[0.9990244,0.00001724179,0.0003149078,0.0001705525,0.0002093367,0.0002635559],"domain_scores_gemma":[0.9988318,0.0001118047,0.00007682568,0.0006515398,0.0001551989,0.0001728046],"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":[0.0000263286,0.000003616613,0.000001164523,0.00004949945,0.0002218193,1.182242e-7,0.0001586337,0.6626816,0.3363896,0.0001417149,0.00001107016,0.0003148224],"study_design_scores_gemma":[0.0003767633,0.00003007855,0.0004262412,0.00007724041,0.0002533325,0.000005841197,0.00002923375,0.9345418,0.06385714,0.00009168451,0.00013913,0.000171523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1122068,0.00004267128,0.886714,0.0002089333,0.0003171017,0.000312966,0.0001389873,0.00005054803,0.000007959379],"genre_scores_gemma":[0.7934148,0.000003647219,0.2064584,0.00002097231,0.00001442821,0.00001648394,0.000003531221,0.00003646435,0.00003129798],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.681208,"threshold_uncertainty_score":0.9844787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008193511109295976,"score_gpt":0.2280559765467511,"score_spread":0.2198624654374551,"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."}}