{"id":"W2662870922","doi":"10.1299/jsmermd.2009._1a2-b01_1","title":"1A2-B01 Development of education contents using MATLAB/Simulink in Mechatronics : Angular velocity control of DC Motor","year":2009,"lang":"en","type":"article","venue":"The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Mechatronics; MATLAB; DC motor; Control (management); Angular velocity; Computer science; Rotary encoder; Encoder; Control engineering; Engineering; Artificial intelligence; Electrical engineering; Physics","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":[0.0006513826,0.0002522798,0.0004777963,0.0002666443,0.0000923281,0.00006124972,0.0007549113,0.0001220685,0.000002330469],"category_scores_gemma":[0.00008868495,0.0002180451,0.00007467126,0.0003570666,0.00006650103,0.0003188759,0.0001349631,0.0002503191,8.241926e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241404,"about_ca_system_score_gemma":0.0006062203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003068921,"about_ca_topic_score_gemma":0.000003402522,"domain_scores_codex":[0.9981236,0.0000132789,0.0007121211,0.0003338887,0.0004447185,0.0003723713],"domain_scores_gemma":[0.9980929,0.00006631769,0.0004806345,0.0002197043,0.00103009,0.0001103435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004284966,0.0003562136,0.0001549698,0.0001416033,0.00004208121,1.403421e-7,0.003683616,0.02999237,0.03208131,0.9286237,0.00001119034,0.004869947],"study_design_scores_gemma":[0.001844206,0.000976152,0.003485218,0.00109832,0.00008969215,0.000009022633,0.005742356,0.8887945,0.02387704,0.07324191,0.0001166016,0.0007249461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6479663,0.0005889334,0.3483161,0.001829999,0.0003171345,0.0006515023,0.00001741808,0.00003320715,0.0002794198],"genre_scores_gemma":[0.9097204,0.0001497196,0.08996856,0.00008081903,0.00002509723,0.000006841916,0.000003521309,0.00001192613,0.00003314262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8588021,"threshold_uncertainty_score":0.8891621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399866181709963,"score_gpt":0.2570115477309967,"score_spread":0.2330128859138971,"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."}}