{"id":"W2783195671","doi":"10.1155/2018/6980536","title":"New Frequency‐Dependent Trigonometric Interpolation Functions for the Dynamic Finite Element Analysis of Thin Rectangular Plates","year":2018,"lang":"en","type":"article","venue":"Shock and Vibration","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Finite element method; Modal analysis; Basis (linear algebra); Trigonometric functions; Basis function; Interpolation (computer graphics); Modal; Vibration; Trigonometry; Set (abstract data type); Applied mathematics; Structural engineering; Mathematics; Computer science; Mathematical analysis; Engineering; Geometry; Acoustics; Mechanical engineering; Frame (networking)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001587502,0.00009020878,0.0001484725,0.0005052912,0.0001327818,0.00004518841,0.00005886963,0.00005224932,0.0002825225],"category_scores_gemma":[0.00004432338,0.00007011797,0.0001002,0.001096395,0.00001856382,0.0001802983,0.00001019186,0.00004491288,0.000004088587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003972766,"about_ca_system_score_gemma":0.00001757618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005803512,"about_ca_topic_score_gemma":0.001176199,"domain_scores_codex":[0.9993861,0.00001669948,0.0002794347,0.0001272523,0.00009980077,0.00009067497],"domain_scores_gemma":[0.9995564,0.0001347023,0.00007031902,0.000142646,0.00006176369,0.00003420922],"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":[0.00008927999,0.00004406575,0.006355915,0.00005374211,0.004002508,1.754581e-7,0.002853937,0.9262625,0.01080081,0.005543952,0.001077481,0.04291564],"study_design_scores_gemma":[0.0001821257,0.00007123133,0.006549348,0.000004039168,0.0007564043,1.680679e-7,0.0003213004,0.9911845,0.0002863129,0.000441735,0.0001265784,0.00007619994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01645838,0.0003472462,0.9823419,0.0001196805,0.0001586407,0.000184383,0.00004061882,0.00005177848,0.0002973288],"genre_scores_gemma":[0.9951159,0.00008778439,0.004174623,0.00002906412,0.00006137395,0.00001828153,0.0002368003,0.000008978971,0.0002672162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9786575,"threshold_uncertainty_score":0.3093423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008796035077593002,"score_gpt":0.2311728077356792,"score_spread":0.2223767726580863,"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."}}