{"id":"W4387933652","doi":"10.1007/s40684-023-00569-6","title":"A Review on Triboelectric Nanogenerators, Recent Applications, and Challenges","year":2023,"lang":"en","type":"review","venue":"International Journal of Precision Engineering and Manufacturing-Green Technology","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"AUTO21 Network of Centres of Excellence","keywords":"Triboelectric effect; Nanogenerator; Energy harvesting; Mechanical energy; Scope (computer science); Computer science; Nanotechnology; Electrical engineering; Engineering; Materials science; Energy (signal processing); Voltage; Power (physics); Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003152834,0.000374668,0.001067232,0.001226672,0.00002792132,0.00003266176,0.0004306,0.000312493,0.000007355936],"category_scores_gemma":[0.0001581282,0.0003050317,0.0001194995,0.0001740304,0.00002481903,0.00007239776,0.0001064646,0.0004742261,0.00001040734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136911,"about_ca_system_score_gemma":0.00002168375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.902747e-7,"about_ca_topic_score_gemma":5.933526e-7,"domain_scores_codex":[0.9984383,0.00002745092,0.0008402345,0.0002538967,0.0002330501,0.0002070416],"domain_scores_gemma":[0.9990609,0.00023172,0.0003116226,0.0002126055,0.00009259779,0.00009057696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003249957,0.00000862787,2.826073e-8,0.007195808,0.0002329366,0.0000333593,0.000003180024,0.0008840309,0.0000194,0.0001616617,0.0001733161,0.9912844],"study_design_scores_gemma":[0.0001407653,0.00006568105,6.789335e-7,0.02209406,0.0001286057,0.000654051,0.000001986978,0.00006379784,0.0005246823,0.0002742842,0.9758041,0.0002472863],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004426384,0.9973751,0.001123874,0.0001963975,0.0006839723,0.0002383717,0.00002181447,0.0002947478,0.00002146731],"genre_scores_gemma":[0.00003114669,0.9986439,0.0007816118,0.00001828404,0.0003286066,0.00006700504,0.00001309507,0.00008557261,0.00003080018],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9910371,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379262822116616,"score_gpt":0.2918764117627257,"score_spread":0.2539501295510641,"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."}}