{"id":"W2109781415","doi":"10.2514/1.17232","title":"Stability Analysis of a Dynamically Tuned Gyroscope","year":2006,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Carleton University","funders":"","keywords":"Gyroscope; Control theory (sociology); Stability (learning theory); Computer science; Longitudinal static stability; Aerospace engineering; Engineering; Aerodynamics; Control (management); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001753397,0.0001035773,0.0005203556,0.000179832,0.0000191039,0.0000134113,0.0001188059,0.00007956121,0.000005229996],"category_scores_gemma":[0.00003344072,0.0000887779,0.0001732139,0.0003435755,0.00007231833,0.00006671624,0.00001018507,0.0001481604,2.580589e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005440704,"about_ca_system_score_gemma":0.00001344064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003620449,"about_ca_topic_score_gemma":0.0002829158,"domain_scores_codex":[0.9990897,0.00001758377,0.0005421748,0.0000763219,0.000131009,0.0001432055],"domain_scores_gemma":[0.9993532,0.00007112911,0.0001950371,0.0001475116,0.0001951144,0.00003802037],"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":[0.0003646909,0.0004062122,0.2389379,0.0002359255,0.003468843,0.00006626467,0.0001266512,0.3821201,0.3191749,0.03765288,0.0001390027,0.01730668],"study_design_scores_gemma":[0.0006740454,0.00008420935,0.1480741,0.0000108148,0.0003989697,0.00000580701,0.0000238083,0.847792,0.0001849746,0.002631925,0.00003374715,0.00008554022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207759,0.000585941,0.07797462,0.0001260847,0.00008759115,0.00004188987,0.00004523234,0.00002048115,0.0003421989],"genre_scores_gemma":[0.9985737,0.00005927173,0.001302665,0.00001341831,0.00002729513,7.398629e-7,0.000002934288,0.000008639551,0.00001131407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.465672,"threshold_uncertainty_score":0.3620258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0022707401495098,"score_gpt":0.1733063218194835,"score_spread":0.1710355816699738,"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."}}