{"id":"W2006925451","doi":"10.1016/j.ymssp.2011.07.027","title":"Error analysis of a new cylindrical capacitive sensor (CCS) for measuring five-dimensional motions of a rotor","year":2011,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Capacitive sensing; Rotor (electric); Acoustics; Control theory (sociology); Structural engineering; Engineering; Computer science; Mechanical engineering; Physics; Electrical engineering; 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":[0.0003487525,0.0001408361,0.0005117503,0.0002104176,0.00005934664,0.000006742639,0.00006877254,0.000138657,0.00001333784],"category_scores_gemma":[0.000039887,0.0001212207,0.0001220304,0.000287442,0.00003826169,0.00009574415,0.00001613366,0.0001130035,1.83699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000287562,"about_ca_system_score_gemma":0.00002674197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006783295,"about_ca_topic_score_gemma":0.00001243341,"domain_scores_codex":[0.9989667,0.000031492,0.0004309723,0.0001887378,0.0001883121,0.0001938151],"domain_scores_gemma":[0.9994606,0.00005384526,0.0001271065,0.0000808773,0.0001731862,0.0001043498],"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":[0.0003713731,0.0002704256,0.0008945624,0.001604044,0.002207654,0.000006825837,0.002150264,0.02169714,0.9511065,0.005625949,0.0000676355,0.01399758],"study_design_scores_gemma":[0.0009491676,0.0004480281,0.001125572,0.0004768284,0.001457007,0.00001006802,0.0006741916,0.8617775,0.1313844,0.001235341,0.00008578209,0.0003760512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.251979,0.0006434835,0.7466933,0.000004215021,0.00004729328,0.0003524846,0.00002767939,0.00009387988,0.0001586638],"genre_scores_gemma":[0.9807208,0.000003796786,0.0191181,0.000004270289,0.0000402505,0.00004929282,0.000004923445,0.00001728298,0.00004125079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8400804,"threshold_uncertainty_score":0.4943236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07967738260054916,"score_gpt":0.2639488841742909,"score_spread":0.1842715015737417,"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."}}