{"id":"W3036833865","doi":"","title":"Electret-Based Acoustic Energy Harvesting using Membrane-Coupled Quarter-Wavelength Resonator","year":2020,"lang":"en","type":"dissertation","venue":"ResearchSpace (University of Auckland)","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electret; Quarter (Canadian coin); Resonator; Wavelength; Energy harvesting; Acoustics; Materials science; Optoelectronics; Membrane; Energy (signal processing); Electrical engineering; Engineering; Physics; Engineering physics; Geography; Chemistry; Composite material","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":[0.0003067164,0.0004979848,0.0007683585,0.0006004854,0.0003278457,0.00007552843,0.0007534446,0.0006239044,0.0001460603],"category_scores_gemma":[0.0001911301,0.0006792304,0.0002465267,0.001010236,0.0001293444,0.0002458727,0.00006504187,0.001136319,0.00001522959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003673323,"about_ca_system_score_gemma":0.000525047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211592,"about_ca_topic_score_gemma":0.007419278,"domain_scores_codex":[0.9971783,0.0001870891,0.0002861663,0.0006020268,0.0009108349,0.0008356173],"domain_scores_gemma":[0.9980481,0.0005158111,0.0002352839,0.0004978027,0.0002980389,0.0004050129],"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":[0.0009585748,0.0001398105,0.0002554859,0.005719154,0.0009527025,0.001066567,0.002876108,0.8056909,0.167909,0.0006963115,0.006695257,0.007040094],"study_design_scores_gemma":[0.0008761241,0.0001304771,0.0002508367,0.000986736,0.000141212,0.000004771267,0.001477677,0.9892561,0.003687502,0.00002130478,0.002548031,0.000619176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165635,0.002287459,0.06368832,0.0003792939,0.001022259,0.0006924928,0.0001356751,0.001952349,0.01327868],"genre_scores_gemma":[0.9892005,0.0005283988,0.00472462,0.00001161243,0.0002134997,0.000001700884,0.0008728906,0.0002027867,0.004243978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1835652,"threshold_uncertainty_score":0.9995659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572553609133071,"score_gpt":0.2159571658150163,"score_spread":0.2002316297236856,"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."}}