{"id":"W2079047681","doi":"10.3390/s140712399","title":"Wireless Displacement Sensing of Micromachined Spiral-Coil Actuator Using Resonant Frequency Tracking","year":2014,"lang":"en","type":"article","venue":"Sensors","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Universiti Teknologi Malaysia; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; CMC Microsystems; Ministry of Education, India; Ministério da Ciência, Tecnologia e Inovação; Kementerian Sains, Teknologi dan Inovasi; Canada Research Chairs","keywords":"Electromagnetic coil; Miniaturization; Actuator; Microactuator; Acoustics; Displacement (psychology); Spiral (railway); Antenna (radio); Electrical engineering; Materials science; Capacitor; Engineering; Physics; Mechanical engineering","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":[0.0001748935,0.0002372902,0.0002282658,0.0002125357,0.0001089749,0.0001812708,0.0003921266,0.0002714971,0.0004440602],"category_scores_gemma":[0.0003050422,0.0001566682,0.0001241615,0.0001606584,0.0002098633,0.0003126579,0.0002110552,0.0001719328,0.000165454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002374083,"about_ca_system_score_gemma":0.0001504073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000273069,"about_ca_topic_score_gemma":0.0008635613,"domain_scores_codex":[0.9998029,0.00002035818,0.00001223049,0.00005453841,0.0000945315,0.00001545931],"domain_scores_gemma":[0.9998209,0.00006382835,0.00005470092,0.0000194859,0.00003134435,0.000009829573],"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":[0.00002920536,0.000007437071,0.0002895011,0.00004506183,0.000003930931,0.00002571297,0.00002477362,0.0002813975,0.9890918,0.0001566222,0.00007113826,0.009973369],"study_design_scores_gemma":[0.000009870201,0.0001120864,0.001322173,0.000004447453,0.00001225144,0.0002033088,0.00001688862,0.007896157,0.9879606,0.00005040333,0.002398338,0.00001335442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8097645,0.002519636,0.1826763,0.0001988394,0.0001956007,0.00008311569,0.0001724909,0.000721553,0.003668078],"genre_scores_gemma":[0.8957593,0.0006566762,0.101265,0.00007631323,0.00003354813,0.00003818878,0.00007414032,0.0000228912,0.002073925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004440602,"threshold_uncertainty_score":0.001722515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236218979105078,"score_gpt":0.265800163011268,"score_spread":0.2434379732202172,"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."}}