{"id":"W2273875263","doi":"","title":"Aero-servo-viscoelasticity theory: lifting surfaces, plates, velocity transients, flutter, and instability","year":2011,"lang":"en","type":"article","venue":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flutter; Viscoelasticity; Instability; Control theory (sociology); Servo; Mechanics; Physics; Structural engineering; Acoustics; Mathematics; Computer science; Engineering; Mechanical engineering; Aerodynamics; Artificial intelligence; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007417294,0.0003759367,0.0005621465,0.0001230406,0.0004327814,0.0001710987,0.0004048703,0.0002408354,0.0001050242],"category_scores_gemma":[0.00009652765,0.0004214274,0.0001701036,0.0001229814,0.0001784142,0.001080741,0.0003025276,0.0004063382,0.0000162429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001847641,"about_ca_system_score_gemma":0.00001202353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011326,"about_ca_topic_score_gemma":0.00009302943,"domain_scores_codex":[0.9981012,0.00009632855,0.0003687666,0.0006137112,0.0003208399,0.0004991138],"domain_scores_gemma":[0.9988694,0.0002481945,0.0001559284,0.0002550003,0.00004578851,0.0004256529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003257192,0.001021843,0.680214,0.001911191,0.001443283,0.00007974566,0.0152032,0.09337088,0.0117339,0.002855884,0.0001332384,0.1887756],"study_design_scores_gemma":[0.01036786,0.002730968,0.7024971,0.0008276777,0.0007448953,0.0000382511,0.004609412,0.2062705,0.002592894,0.004998139,0.05974563,0.004576708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943744,0.0006789157,0.05420105,0.00005234605,0.00008473785,0.0005377188,0.0001781582,0.0001346712,0.0003883748],"genre_scores_gemma":[0.9983104,0.0002505078,0.001015124,0.0000271901,0.00002086226,0.000004245787,0.00004696948,0.00004851996,0.0002761057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1841989,"threshold_uncertainty_score":0.9998237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824651087115079,"score_gpt":0.186428476463513,"score_spread":0.1681819655923622,"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."}}