{"id":"W2142527548","doi":"10.1109/iscas.2013.6571772","title":"Model and design considerations for multistage electrostatic microgenerators","year":2013,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microscale chemistry; Capacitor; Computer science; Power (physics); Variable (mathematics); Electrostatic discharge; Efficient energy use; Energy transformation; Electrical engineering; Electronic engineering; Automotive engineering; Engineering; Voltage; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001794823,0.0004527323,0.0005639688,0.0002695557,0.0003866068,0.0006834639,0.001124424,0.001106255,0.005915074],"category_scores_gemma":[0.0002908779,0.0003260557,0.0006079453,0.0003335693,0.0002696673,0.0008662291,0.0003919291,0.0004580295,0.001131964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000533907,"about_ca_system_score_gemma":0.0005111273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616775,"about_ca_topic_score_gemma":0.001774741,"domain_scores_codex":[0.999891,0.00001438725,0.000004655477,0.00002032929,0.00005835644,0.00001119928],"domain_scores_gemma":[0.9999384,0.00002218518,0.00001027161,0.000008430316,0.00001725491,0.000003480219],"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":[0.0000897463,0.00003897001,0.0004248828,0.000263929,0.00002429239,0.0002193821,0.000116476,0.912097,0.04476045,0.02661399,0.001058059,0.01429292],"study_design_scores_gemma":[0.0000233689,0.0001233029,0.0003285625,0.00001783868,0.00002142231,0.0001030893,0.00002796621,0.9808565,0.005533734,0.005235861,0.007713007,0.00001524258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07248417,0.001445223,0.8717658,0.0006155239,0.0001054251,0.0001972768,0.000574131,0.0006742296,0.05213822],"genre_scores_gemma":[0.8788524,0.002230745,0.06448387,0.0001930476,0.00004786524,0.000566009,0.0003888383,0.000157465,0.05307974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005915074,"threshold_uncertainty_score":0.01978791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296607973738006,"score_gpt":0.2313889835913129,"score_spread":0.1884229038539328,"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."}}