{"id":"W2598855292","doi":"10.1139/tcsme-2016-0002","title":"ADAPTIVE SPARSE GALERKIN METHODS FOR VIBRATING CONTINUOUS STRUCTURES","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Galerkin method; Mathematics; Ordinary differential equation; Partial differential equation; Applied mathematics; Ode; Nonlinear system; Lasso (programming language); Projection (relational algebra); Backward Euler method; Euler's formula; Operator (biology); Mathematical analysis; Algorithm; Differential equation; Euler equations; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003766131,0.0004317118,0.0004419386,0.0002501124,0.0002183744,0.0003685169,0.0005125558,0.0006793827,0.001133253],"category_scores_gemma":[0.0009843877,0.0002887248,0.0004269358,0.000296643,0.0005207848,0.0004784713,0.0005453065,0.0008327065,0.0002048053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297806,"about_ca_system_score_gemma":0.0004021661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008466157,"about_ca_topic_score_gemma":0.001166607,"domain_scores_codex":[0.9998649,0.00005668685,0.000004494084,0.00001865393,0.00004624639,0.000008970413],"domain_scores_gemma":[0.9995967,0.0002870949,0.00003727881,0.00003437207,0.0000316548,0.00001287906],"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":[0.00002710922,0.00003141817,0.0003246928,0.00005602518,0.00002209722,0.00005248558,0.00006208156,0.9478976,0.009434179,0.01218489,0.0004731897,0.02943423],"study_design_scores_gemma":[0.000002379361,0.000006726294,0.0000339086,0.000001749232,9.157609e-7,0.000006735589,0.000002813644,0.9972768,0.0004541689,0.001924564,0.0002875014,0.000001730067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02002811,0.0001944744,0.9777754,0.0001194734,0.00002115866,0.00002150178,0.0000316558,0.0001684301,0.001639741],"genre_scores_gemma":[0.5543244,0.0005726928,0.4409293,0.00009537631,0.00004406917,0.0001872485,0.0001360474,0.00009487482,0.003616084],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001133253,"threshold_uncertainty_score":0.003791153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127379420393029,"score_gpt":0.261649843594866,"score_spread":0.2403760493909357,"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."}}