{"id":"W2739621865","doi":"10.1109/tim.2017.2714378","title":"High-Precision Resolver-to-Velocity Converter","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resolver; Computer science; Electrical engineering; Physics; Electronic engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008741223,0.0003173036,0.000402661,0.0005791553,0.0004357336,0.001350387,0.001398761,0.0005956099,0.005507895],"category_scores_gemma":[0.002292727,0.0002357581,0.0001176756,0.0006662784,0.0004321224,0.001529565,0.0005525329,0.001035863,0.002046129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004154516,"about_ca_system_score_gemma":0.0006982493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003587705,"about_ca_topic_score_gemma":0.0004136859,"domain_scores_codex":[0.9989072,0.0001079565,0.00004452663,0.0001616336,0.0007229567,0.00005577662],"domain_scores_gemma":[0.9991579,0.0002031563,0.00007191016,0.0002080216,0.0003218855,0.00003709722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003052835,0.0001860244,0.001257192,0.0003623992,0.00002819412,0.0001777744,0.0001505202,0.006496406,0.3942539,0.04569226,0.005614081,0.5454759],"study_design_scores_gemma":[0.0001727379,0.000988671,0.002850237,0.000108494,0.00004645589,0.00223463,0.0001090052,0.1176388,0.7696559,0.01070978,0.09536421,0.0001210751],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0536638,0.0009781609,0.9232599,0.0003855615,0.0004150304,0.0001690037,0.0001786857,0.004629211,0.01632063],"genre_scores_gemma":[0.520736,0.0005177521,0.4653652,0.0004688554,0.0001656376,0.0001028207,0.0002157839,0.0002055894,0.01222226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005507895,"threshold_uncertainty_score":0.0184257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0525821467195985,"score_gpt":0.2704321007508216,"score_spread":0.2178499540312231,"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."}}