{"id":"W2007984622","doi":"10.3182/20060829-4-cn-2909.00027","title":"MODELLING OF RATE GYROSCOPES WITH CONSIDERATION OF FAULTS","year":2006,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Gyroscope; Parametric statistics; Control theory (sociology); Fault (geology); Degradation (telecommunications); Engineering; Fault tolerance; Control engineering; Computer science; Reliability engineering; Control (management); Electronic engineering; Mathematics; Artificial intelligence; Aerospace engineering; Statistics","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":[0.00009069269,0.0001050618,0.0002076445,0.0000775704,0.00002910474,0.00001999027,0.00004730081,0.00005312424,0.000007343986],"category_scores_gemma":[0.000008284266,0.00009323322,0.00003176593,0.0001349055,0.00003444226,0.0001777901,0.000004508125,0.00005651565,0.000003596042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685321,"about_ca_system_score_gemma":0.00001011534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002250659,"about_ca_topic_score_gemma":0.00002284998,"domain_scores_codex":[0.999369,0.000002938567,0.000277738,0.0001047345,0.0001245398,0.0001210128],"domain_scores_gemma":[0.9996727,0.00001439949,0.00008804986,0.00004548311,0.0001582481,0.00002115758],"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":[0.00006522402,0.00002836436,0.005680727,0.0005113407,0.0000643911,7.549816e-7,0.0004924659,0.7350605,0.2549363,0.001663498,0.000738636,0.0007578103],"study_design_scores_gemma":[0.0004485805,0.00006165917,0.0003397106,0.0000974408,0.00001593666,0.000004917543,0.0002110945,0.8196872,0.1782192,0.0002357618,0.0005646701,0.0001137834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782301,0.0002404987,0.01356354,0.00001561534,0.00008320129,0.0001638267,0.000005119141,0.0001594346,0.007538705],"genre_scores_gemma":[0.9983568,0.000008762418,0.001269856,0.000003888067,0.00005066361,0.00001630872,0.000001589135,0.0000193639,0.0002727708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08462675,"threshold_uncertainty_score":0.380194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008173109260603972,"score_gpt":0.1820344700063536,"score_spread":0.1738613607457496,"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."}}