{"id":"W2030719408","doi":"10.1007/s00542-012-1436-x","title":"Modeling the performance of a micromachined piezoelectric energy harvester","year":2012,"lang":"en","type":"article","venue":"Microsystem Technologies","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Piezoelectricity; Cantilever; Vibration; Proof mass; Acceleration; Aluminium nitride; Piezoelectric accelerometer; Acoustics; Materials science; Energy harvesting; Microelectromechanical systems; Energy (signal processing); Electric potential energy; Structural engineering; Mechanical engineering; Piezoelectric sensor; Aluminium; Engineering; Composite material; Optoelectronics; 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":[0.0001636027,0.0003448816,0.0003798094,0.0001299406,0.0003271851,0.0005648088,0.0008172527,0.001183463,0.002749989],"category_scores_gemma":[0.0005144898,0.0003144272,0.0003066548,0.0002514753,0.0004398694,0.000788563,0.0002849099,0.0003749092,0.0003601021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006664727,"about_ca_system_score_gemma":0.0008715766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007298358,"about_ca_topic_score_gemma":0.005085778,"domain_scores_codex":[0.9999188,0.00001000496,0.000002420709,0.00001911662,0.00003121463,0.00001842758],"domain_scores_gemma":[0.9998745,0.00006542145,0.00001819223,0.000012179,0.00002044494,0.000009201646],"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":[0.00002427377,0.00001763923,0.0002724598,0.00002336731,0.000009039893,0.00005117766,0.0000159247,0.9894283,0.007338771,0.001318052,0.000101434,0.001399603],"study_design_scores_gemma":[0.000005442184,0.00001635889,0.0001528255,0.000001717501,0.000003850694,0.000008208148,0.00000543737,0.9980423,0.001319579,0.0002878961,0.0001535206,0.000002826027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7232966,0.0008679964,0.2114127,0.0009238583,0.000129905,0.0001133788,0.0003856132,0.0005214637,0.06234843],"genre_scores_gemma":[0.9876778,0.0001946225,0.005317854,0.00004144727,0.000009241454,0.00003598118,0.00004330046,0.00002322216,0.006656589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007298358,"threshold_uncertainty_score":0.01451176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079581379948287,"score_gpt":0.1935923919173967,"score_spread":0.1827965781179138,"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."}}