{"id":"W4306881666","doi":"10.1016/j.egyr.2022.10.056","title":"On the amplitude truncation effect in electromagnetic energy harvesters: Modeling and experimental validation","year":2022,"lang":"en","type":"article","venue":"Energy Reports","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Piecewise linear function; Amplitude; Truncation (statistics); Piecewise; Voltage; Energy (signal processing); Energy harvesting; Vibration; Power (physics); Power density; Control theory (sociology); Bandwidth (computing); Acoustics; Physics; Mathematical analysis; Mathematics; Computer science; Telecommunications; Optics; Statistics","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":[0.0004121696,0.000253936,0.0002876351,0.0001960779,0.0001683605,0.0002541176,0.0004785241,0.0003943891,0.0009523042],"category_scores_gemma":[0.0009945997,0.000176032,0.000304254,0.000276184,0.0004555019,0.0005423721,0.0003091366,0.0003093869,0.0001784194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002537591,"about_ca_system_score_gemma":0.0001711456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005731652,"about_ca_topic_score_gemma":0.000426188,"domain_scores_codex":[0.9998079,0.00002531277,0.000009547927,0.00003315752,0.0001029469,0.00002120354],"domain_scores_gemma":[0.999527,0.0002986396,0.00005804181,0.00005253185,0.00005444157,0.000009360765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001707065,0.0001611281,0.001453431,0.0003219029,0.00002356484,0.000233514,0.0002367952,0.2405861,0.7331139,0.002886129,0.0002263238,0.02058639],"study_design_scores_gemma":[0.00001023235,0.0002928052,0.001477156,0.00001579599,0.00001563377,0.0000678509,0.00003604232,0.7406769,0.2559469,0.000723249,0.000714996,0.00002237251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8406135,0.0004224845,0.1542584,0.0001694354,0.00003078484,0.00007034447,0.0001344791,0.0002580555,0.004042501],"genre_scores_gemma":[0.9863571,0.0002548074,0.01252672,0.00001246096,0.000004725644,0.00003619594,0.00003479028,0.00001260958,0.0007605873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009523042,"threshold_uncertainty_score":0.003185749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008996744185628906,"score_gpt":0.2078807135944053,"score_spread":0.1988839694087764,"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."}}