{"id":"W2018106323","doi":"10.5772/5680","title":"Using AC Motors in Robotics","year":2007,"lang":"en","type":"article","venue":"International Journal of Advanced Robotic Systems","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Control engineering; Scheme (mathematics); Robotics; Obstacle; Actuator; Fuzzy logic; Fuzzy control system; Control theory (sociology); Mechanism (biology); DC motor; Artificial intelligence; Robot; Control (management); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003103983,0.0004667667,0.0004077806,0.0006182551,0.0004735802,0.0008994974,0.0005334732,0.001248616,0.003630229],"category_scores_gemma":[0.0004862841,0.0001803983,0.0002538312,0.001014991,0.0009579267,0.001220071,0.0006185698,0.000740992,0.001476517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003955363,"about_ca_system_score_gemma":0.000360043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00092916,"about_ca_topic_score_gemma":0.0008247969,"domain_scores_codex":[0.9994629,0.00009076765,0.00002786788,0.0001177686,0.0002744742,0.0000261348],"domain_scores_gemma":[0.9998311,0.000057696,0.00002873176,0.0000255794,0.00004579135,0.00001108706],"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":[0.0001306535,0.00007445477,0.0009442316,0.002031425,0.00004960381,0.0004887999,0.0003210113,0.01478947,0.05713908,0.2000297,0.008848302,0.7151532],"study_design_scores_gemma":[0.00002878176,0.0006321215,0.002323133,0.0006596516,0.00006003831,0.002343261,0.0001989822,0.02261613,0.04024657,0.1028841,0.8279119,0.00009529478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03447501,0.3039806,0.4579408,0.002737902,0.002310904,0.0001684333,0.00012041,0.001144056,0.1971218],"genre_scores_gemma":[0.5328478,0.1504612,0.2327078,0.001695732,0.00149589,0.0001417822,0.0001895817,0.0001309324,0.08032937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003630229,"threshold_uncertainty_score":0.01214433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689278829967408,"score_gpt":0.3001783172936102,"score_spread":0.2732855289939361,"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."}}