{"id":"W2988343923","doi":"10.18280/jesa.520402","title":"Dynamic Stability Analysis of Functionally Graded Timoshenko Beams with Internal Viscous Damping Distribution","year":2019,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stability (learning theory); Viscous damping; Mechanics; Materials science; Structural engineering; Internal forces; Physics; Vibration; Engineering; Computer science; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918484,0.0002264779,0.0005539397,0.0003298559,0.0001080204,0.0001484802,0.000206158,0.00006213125,0.0004558845],"category_scores_gemma":[0.00002374749,0.0001791772,0.0002902723,0.001184864,0.00005416636,0.0003419426,0.00003373013,0.0002586448,0.00001008266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220046,"about_ca_system_score_gemma":0.00003756501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002462222,"about_ca_topic_score_gemma":0.00007770203,"domain_scores_codex":[0.9983075,0.000099141,0.0006764359,0.0002070948,0.0004700742,0.0002397114],"domain_scores_gemma":[0.9989454,0.00006827794,0.0003133161,0.0002865635,0.0002863115,0.000100142],"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":[0.00004517106,0.00003370499,0.03609488,0.0001365304,0.002468198,0.000009208407,0.0002890352,0.943506,0.006518915,0.0001002575,0.00004285226,0.01075527],"study_design_scores_gemma":[0.000212607,0.00007895776,0.4339547,0.00008270578,0.0007273406,0.00006083375,0.0000529146,0.5643731,0.0002110739,0.00008458507,0.00002875982,0.000132366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7274609,0.0002145851,0.2715186,0.000009907275,0.0001700193,0.00009563933,0.00004102432,0.00009945783,0.0003897932],"genre_scores_gemma":[0.9963882,0.00005901898,0.003249734,0.000007250595,0.00003134798,0.000002059189,0.0001727209,0.00002980544,0.00005986261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3978598,"threshold_uncertainty_score":0.7306635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005445549511745054,"score_gpt":0.2068927941515195,"score_spread":0.2014472446397745,"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."}}