{"id":"W835815097","doi":"10.1007/s40435-015-0195-9","title":"Fractional order derivative aero-servo-viscoelasticity","year":2015,"lang":"en","type":"article","venue":"International Journal of Dynamics and Control","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"University of Illinois at Urbana-Champaign; National Centre for Supercomputing Applications","keywords":"Fractional calculus; Viscoelasticity; Mathematics; Mathematical analysis; Convolution (computer science); Laplace transform; Derivative (finance); Flutter; Divergence (linguistics); Applied mathematics; Physics; Computer science; Mechanics","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":[0.0001488913,0.000193427,0.0002235858,0.0002118183,0.0002755643,0.0004142046,0.0002124216,0.0004112488,0.001697048],"category_scores_gemma":[0.0006083597,0.00008768008,0.000204717,0.0001499246,0.0002274861,0.0003622654,0.0003370086,0.0002796817,0.0001507444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139047,"about_ca_system_score_gemma":0.0001783526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003817425,"about_ca_topic_score_gemma":0.000434361,"domain_scores_codex":[0.9999202,0.000009732621,0.000004384636,0.00001640674,0.00003990077,0.000009211471],"domain_scores_gemma":[0.9998398,0.00005274742,0.00003335929,0.00003093937,0.00003301394,0.00001014637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006310096,0.0001797839,0.003060603,0.0004818563,0.00006988134,0.0008666657,0.0002391201,0.3123533,0.4561809,0.05826159,0.001127976,0.1665474],"study_design_scores_gemma":[0.00001732285,0.0002399449,0.003410098,0.00001835821,0.00002793257,0.0003705377,0.00002166918,0.9471467,0.03563038,0.00814005,0.0049564,0.00002061785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3519947,0.0009238319,0.6216779,0.0004886471,0.000389423,0.00004558866,0.0001059962,0.0006750167,0.02369888],"genre_scores_gemma":[0.9874936,0.0001091113,0.008979859,0.0000247985,0.0000168193,0.000006674782,0.00001425969,0.00001196505,0.003342886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001697048,"threshold_uncertainty_score":0.005677164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04533893097272151,"score_gpt":0.3297359446182032,"score_spread":0.2843970136454816,"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."}}