{"id":"W7132893394","doi":"","title":"Novel Electrostatic Actuators with Applications","year":2017,"lang":"","type":"dissertation","venue":"TSpace","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Actuator; Autofocus; Microelectromechanical systems; Voice coil; Power (physics); Power consumption; Lens (geology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001126382,0.0006652267,0.0005028252,0.0001979006,0.00100129,0.0005038257,0.0008494876,0.0003831905,0.0002482851],"category_scores_gemma":[0.00003117173,0.0006710403,0.0001163823,0.0003386129,0.000128087,0.0002243492,0.00002600743,0.0007953284,0.0002071927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889075,"about_ca_system_score_gemma":0.0003469339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002278015,"about_ca_topic_score_gemma":0.0001402529,"domain_scores_codex":[0.9980154,0.000008235775,0.0003742441,0.0006561991,0.0003269643,0.0006189396],"domain_scores_gemma":[0.9975623,0.00007241471,0.0004910996,0.00139693,0.0002922977,0.0001849918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002572118,0.001280419,0.0001257918,0.008788142,0.001242141,0.00001304307,0.01956596,0.001263956,0.3694839,0.07414598,0.008111515,0.5157219],"study_design_scores_gemma":[0.003569946,0.0008134908,0.001696162,0.005192012,0.003533918,0.0002433931,0.005761732,0.05173844,0.3829565,0.01615206,0.5191413,0.009201046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009534798,0.000790064,0.9265397,0.0006737318,0.0000720497,0.001672916,0.00003359513,0.0006147784,0.06864966],"genre_scores_gemma":[0.5597735,0.001260904,0.3142147,0.00008166431,0.0005042558,0.007564003,0.001871553,0.0006658396,0.1140636],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6123251,"threshold_uncertainty_score":0.9995741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265508263747783,"score_gpt":0.3224776539506301,"score_spread":0.3098225713131523,"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."}}