{"id":"W2793510989","doi":"10.1002/adem.201700957","title":"High Performance Triboelectric Nanogenerator by Hot Embossing on Self‐Assembled Micro‐Particles","year":2018,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Tech University; University of New Brunswick","funders":"","keywords":"Triboelectric effect; Nanogenerator; Materials science; Embossing; Nanotechnology; Fabrication; Voltage; Optoelectronics; Electrical engineering; Composite material","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":[0.000173807,0.0002508113,0.0002205027,0.0002440668,0.0001162257,0.0002276909,0.0002758821,0.0003606607,0.0004259473],"category_scores_gemma":[0.0001714172,0.0001837569,0.0002658534,0.0001222839,0.0002358395,0.0003026238,0.0002416861,0.0003120316,0.0002816262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640293,"about_ca_system_score_gemma":0.00007194521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081905,"about_ca_topic_score_gemma":0.0002815309,"domain_scores_codex":[0.9998437,0.00001735447,0.0000132725,0.00003590656,0.0000688092,0.00002102552],"domain_scores_gemma":[0.9998595,0.00002973591,0.00004241592,0.00002749862,0.00002606339,0.0000147036],"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":[0.00001209281,0.00001304639,0.00006186742,0.00002537127,0.000003175423,0.00003558702,0.00002110223,0.0001443463,0.9970963,0.0001683699,0.00005527586,0.002363474],"study_design_scores_gemma":[0.000006475373,0.00008409758,0.0004578555,0.000001717052,0.000005184628,0.0000548819,0.000004605739,0.002005751,0.9959777,0.00002318405,0.001372654,0.000005831108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536279,0.001564372,0.04091604,0.000183648,0.0001616685,0.00007535763,0.000105562,0.0005839252,0.002781573],"genre_scores_gemma":[0.9752059,0.0004084686,0.02143059,0.00005124247,0.00003123414,0.00004712896,0.00009506293,0.00004433262,0.002686084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004259473,"threshold_uncertainty_score":0.001424909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005325971105014247,"score_gpt":0.1916036195111609,"score_spread":0.1862776484061467,"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."}}