{"id":"W4285500067","doi":"10.1016/j.renene.2022.07.051","title":"Piezoelectric wave energy harvester","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy harvesting; Piezoelectricity; Acoustics; Enclosure; Energy transformation; Voltage; Energy (signal processing); Electrical engineering; Power (physics); Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009799795,0.0001974158,0.0002250646,0.000259315,0.0002968356,0.0003776005,0.0004591221,0.0003402559,0.00799425],"category_scores_gemma":[0.0001360993,0.0001937371,0.0001746527,0.0004074902,0.0001799362,0.0007583181,0.0005110574,0.0004211507,0.002611597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012404,"about_ca_system_score_gemma":0.0002020622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001146841,"about_ca_topic_score_gemma":0.0003526174,"domain_scores_codex":[0.9998858,0.000003679884,0.000004371684,0.00002857893,0.00006599387,0.00001152449],"domain_scores_gemma":[0.9999397,0.0000137355,0.00001036931,0.00000975848,0.00001872988,0.000007728978],"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":[0.00006000299,0.0000547789,0.0005104458,0.0001863302,0.00001984971,0.0001534293,0.0000760801,0.0009425106,0.8586906,0.01002336,0.006528832,0.122754],"study_design_scores_gemma":[0.00004289007,0.0002544537,0.004588632,0.00004441729,0.00005323744,0.001108731,0.0001047654,0.03161876,0.8551832,0.005158022,0.1017926,0.00005024007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2459002,0.005603246,0.6086485,0.002064532,0.001391274,0.0003301925,0.001032289,0.003384978,0.1316448],"genre_scores_gemma":[0.7193522,0.003079526,0.09754613,0.0006953437,0.0003088242,0.000193445,0.0006072871,0.0002029731,0.1780144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00799425,"threshold_uncertainty_score":0.02674347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272252930504842,"score_gpt":0.1804384060459097,"score_spread":0.1677158767408613,"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."}}