{"id":"W4405603278","doi":"10.2316/j.2025.206-1107","title":"STUDY ON CONTROL STRATEGY OF BILATERAL PERMANENT MAGNET LINEAR MOTOR, 254-262.","year":2024,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Magnet; Linear motor; Control theory (sociology); Control (management); Motor control; Computer science; Psychology; Engineering; Mechanical engineering; Artificial intelligence; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001908565,0.0003550471,0.0002952416,0.0002354575,0.0003195224,0.0006642115,0.0003709985,0.0003473092,0.004861628],"category_scores_gemma":[0.0003524109,0.0001202778,0.0002359121,0.0001694578,0.0002266532,0.0004767346,0.0001781242,0.000186113,0.0004719493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003325751,"about_ca_system_score_gemma":0.0003791998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002546633,"about_ca_topic_score_gemma":0.002433031,"domain_scores_codex":[0.9998953,0.00001554515,0.000005482744,0.00002303514,0.00004842653,0.00001224055],"domain_scores_gemma":[0.99994,0.000017016,0.000006064776,0.000004012305,0.00002641493,0.000006434751],"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":[0.0008921954,0.0002554614,0.003880774,0.00187658,0.0001598855,0.001454259,0.0005957663,0.2345281,0.1992959,0.1312526,0.009727594,0.4160808],"study_design_scores_gemma":[0.00007346209,0.001237507,0.005715773,0.00007976608,0.0001130418,0.000890989,0.0003315519,0.9204236,0.02546507,0.01840833,0.02722009,0.00004077481],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1627059,0.01101467,0.7102929,0.0007966871,0.0004627803,0.0001971717,0.00008034913,0.0002589853,0.1141905],"genre_scores_gemma":[0.9668287,0.001938058,0.01245966,0.00006165825,0.00005443584,0.00003786891,0.00004133771,0.00001899279,0.01855924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004861628,"threshold_uncertainty_score":0.01626372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152564972131026,"score_gpt":0.2582373495543984,"score_spread":0.2467116998330881,"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."}}