{"id":"W2978184665","doi":"10.1002/advs.201802230","title":"Integrated Triboelectric Nanogenerators in the Era of the Internet of Things","year":2019,"lang":"en","type":"review","venue":"Advanced Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":297,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; U.S. Department of Energy","keywords":"Triboelectric effect; Internet of Things; Materials science; Nanotechnology; Computer science; Composite material; Internet privacy","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":[0.0003605302,0.0005971418,0.0005598339,0.001660897,0.0002017813,0.0005840081,0.0004640312,0.000815202,0.003225442],"category_scores_gemma":[0.0003940058,0.0003010804,0.0004212453,0.00182054,0.000239337,0.001111873,0.0004931476,0.001007993,0.001438946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331667,"about_ca_system_score_gemma":0.0006220233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000479286,"about_ca_topic_score_gemma":0.001179367,"domain_scores_codex":[0.9998564,0.00001989188,0.00001517273,0.00003396746,0.00005707167,0.00001749444],"domain_scores_gemma":[0.9998803,0.00004945179,0.00001855681,0.000007515554,0.00003571328,0.00000834082],"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":[0.00004916903,0.00005629382,0.0001988462,0.0158806,0.00006756869,0.0002438138,0.0000766988,0.0006619652,0.01486686,0.02260887,0.01726184,0.9280275],"study_design_scores_gemma":[0.000004541074,0.00007646448,0.0004501977,0.001334915,0.0000509891,0.0007499149,0.00003743268,0.0002046557,0.004072285,0.002808604,0.9901943,0.00001567937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009881138,0.9880518,0.001450207,0.0003884734,0.000736209,0.00001856354,0.00004699203,0.00002234608,0.008297301],"genre_scores_gemma":[0.006332131,0.9838564,0.001935368,0.0004894242,0.0002637193,0.00003323887,0.00009225222,0.000008650659,0.006988742],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003225442,"threshold_uncertainty_score":0.01079017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447758647450865,"score_gpt":0.2737518278553424,"score_spread":0.2492742413808337,"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."}}