{"id":"W1983291295","doi":"10.1115/imece2006-14765","title":"Design and Modelling of Novel Linearly Tunable Capacitors","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Government of Ontario","keywords":"Capacitor; Linearity; Sensitivity (control systems); Capacitance; Materials science; Voltage; Nonlinear system; Stiffness; Microelectromechanical systems; Variable capacitor; Electronic engineering; Optoelectronics; Electrical engineering; Engineering; Physics; Electrode; Composite material","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":[0.0001746524,0.0004326657,0.000424738,0.0003435059,0.0002917378,0.001037745,0.001407265,0.001625467,0.003807548],"category_scores_gemma":[0.0004695847,0.0003973492,0.000396516,0.0004798737,0.0005397383,0.000631223,0.0003465631,0.0004964016,0.0008417969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007321851,"about_ca_system_score_gemma":0.0008265998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812645,"about_ca_topic_score_gemma":0.001488181,"domain_scores_codex":[0.9998633,0.00001582158,0.00000563883,0.00002677496,0.00006448138,0.00002405193],"domain_scores_gemma":[0.9998868,0.00002565698,0.00003154003,0.00001224103,0.00003370039,0.000009978931],"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":[0.00007722267,0.00004289269,0.0003397475,0.0001850814,0.00002840511,0.0004492309,0.00008532052,0.8931357,0.06086736,0.03342405,0.001151816,0.01021322],"study_design_scores_gemma":[0.00001998535,0.00003286519,0.0001624406,0.000008830199,0.000008811338,0.00009632324,0.00001546768,0.9881781,0.005281308,0.002117594,0.004065678,0.00001259232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.112342,0.001459463,0.790998,0.0009281112,0.0002423544,0.0002897953,0.0006723373,0.001031464,0.09203641],"genre_scores_gemma":[0.8528149,0.00147433,0.1047893,0.0002218453,0.00006571509,0.0005161547,0.0002507569,0.0001413866,0.0397257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003807548,"threshold_uncertainty_score":0.01273751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970040350264063,"score_gpt":0.1955798411853043,"score_spread":0.1658794376826636,"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."}}