{"id":"W3194027014","doi":"10.1142/s175882512150068x","title":"Large Deformation Dynamic Analysis of a Cable System by a New Hamiltonian Finite Element Method","year":2021,"lang":"en","type":"article","venue":"International Journal of Applied Mechanics","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Symplectic geometry; Finite element method; Hamiltonian system; Equations of motion; Hamiltonian (control theory); Mathematics; Classical mechanics; Computer science; Mathematical analysis; Physics; Structural engineering; Engineering; Mathematical optimization","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":[0.0002689778,0.0002863797,0.0003897891,0.0004578446,0.0003034278,0.0003135043,0.00068784,0.0005596898,0.003119802],"category_scores_gemma":[0.0004509389,0.0002395443,0.0004546588,0.0002681329,0.0005134309,0.0007947602,0.0005561071,0.0005166098,0.000476719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987828,"about_ca_system_score_gemma":0.0006172718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001974896,"about_ca_topic_score_gemma":0.002439438,"domain_scores_codex":[0.9998559,0.00003059889,0.000007326198,0.00001934115,0.00007564839,0.00001126206],"domain_scores_gemma":[0.9998404,0.00007556697,0.00001597118,0.00002035745,0.0000357812,0.00001199114],"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":[0.00003500883,0.00007797552,0.001388272,0.0001687171,0.00004316496,0.0002034661,0.0002438891,0.7979134,0.03429405,0.07698024,0.001067191,0.08758461],"study_design_scores_gemma":[0.000003669855,0.00001067582,0.00009321855,0.00000462403,0.000002970814,0.00002529092,0.00001224692,0.9956167,0.0008659327,0.001914771,0.001445255,0.000004690066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006401634,0.00005881213,0.9913383,0.00003755467,0.00001630581,0.00001831225,0.00002360381,0.00006279468,0.002042698],"genre_scores_gemma":[0.388472,0.0004913744,0.5991675,0.00008768546,0.00005465891,0.0002472269,0.0001422631,0.000199329,0.01113793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003119802,"threshold_uncertainty_score":0.01043677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004568626922863942,"score_gpt":0.2356140895572241,"score_spread":0.2310454626343602,"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."}}