{"id":"W2972554930","doi":"10.1016/j.apenergy.2019.113805","title":"Toward a 0.33 W piezoelectric and electromagnetic hybrid energy harvester: Design, experimental studies and self-powered applications","year":2019,"lang":"en","type":"article","venue":"Applied Energy","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Energy harvesting; Magnet; Power density; Capacitor; Electrical engineering; Excitation; Piezoelectricity; Power (physics); Vibration; Acoustics; Materials science; Engineering; Mechanical engineering; Voltage; 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":[0.0006229444,0.0002488837,0.0002065942,0.0001773667,0.0002171526,0.0005072385,0.0005632958,0.0004613727,0.001317664],"category_scores_gemma":[0.0003352108,0.0002692824,0.0002273308,0.0002351667,0.0003128004,0.0008722786,0.0004064423,0.0004070005,0.0006852938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002834706,"about_ca_system_score_gemma":0.0003876167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002393496,"about_ca_topic_score_gemma":0.000558,"domain_scores_codex":[0.999862,0.00001222579,0.000006053094,0.00003525081,0.00006998416,0.000014545],"domain_scores_gemma":[0.9998677,0.0000302674,0.00003015616,0.00001331404,0.00004347082,0.00001510844],"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":[0.00004554265,0.00005329668,0.0003101038,0.00008298812,0.00000840922,0.00002810901,0.00004352774,0.0005364366,0.990234,0.001866954,0.0002329835,0.006557726],"study_design_scores_gemma":[0.00002556217,0.000548738,0.001434248,0.00001317978,0.00002340088,0.0001442229,0.0000457106,0.01276338,0.9758396,0.0006098534,0.008535839,0.00001624402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7382818,0.002001162,0.2492838,0.0008772276,0.0001317957,0.0003298346,0.0003405613,0.0005601178,0.008193685],"genre_scores_gemma":[0.8174304,0.001267951,0.1671041,0.0001704607,0.00003844468,0.0002343099,0.000211824,0.00009941367,0.013443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001317664,"threshold_uncertainty_score":0.004408002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366776669828535,"score_gpt":0.2139269950456433,"score_spread":0.200259228347358,"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."}}