{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001604396,0.0001011216,0.0001802578,0.00004812528,0.0003541429,0.0001023777,0.0002531606,0.00006861565,0.000003614125],"category_scores_gemma":[0.00001551061,0.00008728557,0.00005616057,0.00002751915,0.0000242351,0.0001397719,0.00003020423,0.0001325439,0.000004112593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002875626,"about_ca_system_score_gemma":0.00002635963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.056055e-7,"about_ca_topic_score_gemma":0.00000120551,"domain_scores_codex":[0.9994259,0.000002318959,0.0002415649,0.00007240712,0.0001052715,0.000152475],"domain_scores_gemma":[0.9993129,0.00004402576,0.0001909716,0.0002367573,0.0001192615,0.0000960487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001873795,0.00009359225,0.00005487191,0.0002576649,0.0001922559,0.000001933828,0.00009736047,0.7492283,0.01716393,0.193772,0.0008015461,0.03831783],"study_design_scores_gemma":[0.00335805,0.0006951329,0.003474911,0.0002213945,0.0005604595,0.0002303836,0.0002268629,0.8831838,0.01549993,0.06783572,0.02389676,0.0008165946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01485346,0.0001922908,0.983874,0.0004550966,0.0003321601,0.0002010498,0.00001297983,0.0000248811,0.00005410046],"genre_scores_gemma":[0.6682644,0.0007364763,0.3306124,0.0000248344,0.0002432907,0.00002405192,0.000001880716,0.00002286809,0.00006981793],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.653411,"threshold_uncertainty_score":0.3559403,"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."}}