{"id":"W2116472331","doi":"10.1109/isie.2006.296049","title":"Electromagnetic MEMS Based Micro-Power Generator","year":2006,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Generator (circuit theory); Power (physics); Electrical engineering; Microelectromechanical systems; Power density; Computer science; Acceleration; Voltage; Electronic engineering; Physics; Engineering; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005394074,0.000135824,0.00009746616,0.0001198588,0.0000327488,0.00002908519,0.0001504736,0.00008429018,0.0002093266],"category_scores_gemma":[0.00002168865,0.0001269284,0.00002466705,0.0003614549,0.00003990484,0.00004613037,0.00001582437,0.0001161099,0.00006631544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005259366,"about_ca_system_score_gemma":0.00001193965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002569851,"about_ca_topic_score_gemma":0.00001539195,"domain_scores_codex":[0.9993727,0.00000537039,0.0001468698,0.0001282764,0.00007823802,0.0002685497],"domain_scores_gemma":[0.9996911,0.00002185225,0.0000128349,0.0002196177,0.00004222164,0.00001235363],"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":[7.151929e-7,0.00001043377,0.0003118823,0.000005651055,0.000005685322,0.000005477431,0.00000132896,0.006018819,0.9561529,0.01301965,0.02419214,0.0002752888],"study_design_scores_gemma":[0.0001521521,0.00003492316,0.002791855,0.000004196352,0.000002493872,0.000002618377,0.000003046086,0.006738105,0.9745439,0.0007310475,0.01480052,0.0001951028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917797,0.0001737639,0.01703539,0.0001108622,0.0001693055,0.00005730853,0.000001931533,0.0033693,0.06128513],"genre_scores_gemma":[0.9381071,9.667598e-7,0.0604259,0.00008693082,0.00004762937,0.00001875095,0.000007625708,0.0000354364,0.001269614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06001551,"threshold_uncertainty_score":0.517599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004985373057236258,"score_gpt":0.1763818130640068,"score_spread":0.1713964400067705,"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."}}