{"id":"W2583847445","doi":"10.1115/1.4035879","title":"A High Performance Voice Coil Actuator for Optomechatronic Applications","year":2017,"lang":"en","type":"article","venue":"Journal of Mechanisms and Robotics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Memorial University of Newfoundland","funders":"Atlantic Canada Opportunities Agency; Research and Development Corporation of Newfoundland and Labrador","keywords":"Actuator; Kinematics; Electromagnetic coil; Voice coil; Computer science; Linear actuator; Degrees of freedom (physics and chemistry); Orientation (vector space); Electronics; Printed circuit board; Planar; Control theory (sociology); Engineering; Mechanical engineering; Electrical engineering; Physics; Artificial intelligence","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":[0.0001227532,0.0002851425,0.0002315071,0.0001624088,0.0002335171,0.0002109237,0.0002643941,0.0004879673,0.0008582706],"category_scores_gemma":[0.0001207775,0.0001319662,0.0001834168,0.0001663938,0.0001745901,0.0003610865,0.000215649,0.0003066322,0.0005461786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635345,"about_ca_system_score_gemma":0.0002585184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844128,"about_ca_topic_score_gemma":0.0002888674,"domain_scores_codex":[0.9998885,0.000008810979,0.000006321797,0.00003081819,0.00004988856,0.00001555166],"domain_scores_gemma":[0.9999299,0.000009438634,0.00001692261,0.000007832219,0.00001841819,0.00001737962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002517418,0.000008963068,0.00009669864,0.00006482413,0.000001735202,0.0001273989,0.00002074015,0.0002167336,0.987491,0.0006891592,0.0004597386,0.01079779],"study_design_scores_gemma":[0.00004048819,0.0007838283,0.002552879,0.00001588884,0.00001521965,0.001533794,0.00004186096,0.01168624,0.9408539,0.0002297832,0.04219956,0.00004657181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6244111,0.003958887,0.347428,0.0009515567,0.0008036703,0.0003824525,0.0005738952,0.002026257,0.01946412],"genre_scores_gemma":[0.8329809,0.001012659,0.1546982,0.0001643234,0.00008979088,0.0001589415,0.000267542,0.0000568873,0.01057082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008582706,"threshold_uncertainty_score":0.002871215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145580586021714,"score_gpt":0.2393034291454011,"score_spread":0.227847623285184,"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."}}