{"id":"W2067769473","doi":"10.1115/detc2010-28893","title":"Output Power Optimization for Electromagnetic Vibration Energy Harvesters","year":2010,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Micropower; Vibration; Electromagnetic coil; Power (physics); Electromagnetic shielding; Electrical engineering; Energy (signal processing); Work (physics); Engineering; Acoustics; Mechanical engineering; 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":[0.0002664601,0.0005257684,0.0003885501,0.0002631023,0.0002025278,0.000405354,0.0003915801,0.0003382097,0.00194882],"category_scores_gemma":[0.0004721554,0.0002495383,0.0002415997,0.0003441466,0.0003085619,0.0004853792,0.0003745372,0.0002792045,0.0005261344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002944876,"about_ca_system_score_gemma":0.0001490463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008660009,"about_ca_topic_score_gemma":0.0002074232,"domain_scores_codex":[0.9998734,0.00001903504,0.000005589299,0.00002798655,0.0000588347,0.00001505046],"domain_scores_gemma":[0.9998981,0.00005588128,0.00001908309,0.000007720333,0.0000160781,0.000003166002],"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":[0.0002359731,0.00009388277,0.0007357866,0.0003841082,0.00006418682,0.0001261626,0.0001154925,0.459947,0.4037594,0.02035016,0.0009573586,0.1132304],"study_design_scores_gemma":[0.00006953219,0.0003050638,0.0008172368,0.00002545834,0.00004410493,0.00009552365,0.00003972293,0.8024071,0.1816856,0.009871658,0.004610342,0.00002869399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09960361,0.0004531969,0.8901563,0.000120158,0.00002054527,0.00004698826,0.00006024097,0.0003158102,0.009223143],"genre_scores_gemma":[0.8568743,0.000412803,0.1366613,0.00004574643,0.00002252731,0.00014303,0.00007187938,0.000198816,0.005569611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00194882,"threshold_uncertainty_score":0.006519496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006274854383685569,"score_gpt":0.1908158307890009,"score_spread":0.1845409764053154,"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."}}