{"id":"W4390075056","doi":"10.1109/tpel.2023.3345663","title":"State of the Art on Power Conditioning for Piezoelectric Energy Harvesters","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ocean Frontier Institute; Canada Foundation for Innovation","keywords":"Engineering; Electronic engineering; Energy harvesting; Electronic circuit; Electrical engineering; Interface (matter); Microelectromechanical systems; Power (physics); Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00015806,0.0002282492,0.0001957415,0.0004292839,0.0001817418,0.0000284695,0.0002936176,0.0001066161,0.00001864792],"category_scores_gemma":[0.00002428324,0.0002027152,0.0001395192,0.001549261,0.00008477338,0.0001158238,0.000001865767,0.0004174656,0.00002473732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329386,"about_ca_system_score_gemma":0.0000722333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003101258,"about_ca_topic_score_gemma":0.0000391437,"domain_scores_codex":[0.9987023,0.00002788842,0.0002900213,0.0002268585,0.0002154805,0.000537462],"domain_scores_gemma":[0.9991843,0.0002252157,0.00007130067,0.0004001584,0.00009298152,0.00002611418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006866157,0.00009774989,0.000003617079,0.0000329502,0.0003036332,0.000002456788,0.0001922986,0.909543,0.04671265,0.01802444,0.009853493,0.01516503],"study_design_scores_gemma":[0.0005991571,0.0007228378,0.0001383344,0.00007880738,0.00003151245,0.000006515654,0.00003582647,0.02714147,0.9336242,0.004522169,0.03270067,0.0003985087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1512505,0.00005889321,0.8440735,0.0003096271,0.001003458,0.0002518236,0.00009396741,0.001535908,0.001422366],"genre_scores_gemma":[0.9970876,0.000062873,0.0002243998,0.0001300342,0.000005651497,0.0001460127,0.000009207131,0.00007838514,0.002255853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8869116,"threshold_uncertainty_score":0.8266485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009264971143997837,"score_gpt":0.2162509061117614,"score_spread":0.2069859349677635,"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."}}