{"id":"W2969834347","doi":"10.1002/aelm.201900464","title":"Tribo‐Tunneling DC Generator with Carbon Aerogel/Silicon Multi‐Nanocontacts","year":2019,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University at Buffalo; National Science Foundation","keywords":"Materials science; Aerogel; Optoelectronics; Quantum tunnelling; Diode; Silicon; Nanotechnology; Carbon fibers; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002020203,0.0004973559,0.0006873854,0.000100225,0.00007320826,0.00009396872,0.0002359994,0.0001568721,0.0002514155],"category_scores_gemma":[0.00003188068,0.0004450354,0.00005054677,0.0001821561,0.00002841146,0.0003297068,0.00003297604,0.0001671185,0.0001098756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255245,"about_ca_system_score_gemma":0.00006487652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004558104,"about_ca_topic_score_gemma":0.00006996788,"domain_scores_codex":[0.9975258,0.0000678775,0.0005229946,0.000516402,0.0002044292,0.001162468],"domain_scores_gemma":[0.9990766,0.00005453828,0.0001291026,0.0005359662,0.00006620157,0.0001375867],"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":[0.0001234628,0.00001624769,0.00005320897,0.000107512,0.00005799772,0.000008342032,0.00004505691,0.103263,0.8953547,0.0005060585,0.000005104652,0.0004592159],"study_design_scores_gemma":[0.001889945,0.0002013279,0.0001266179,0.0001027519,0.0000292167,0.00003236811,0.00002833869,0.001072819,0.9928219,0.0001437115,0.002925556,0.0006254615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956053,0.0005755962,0.0006689426,0.0000116545,0.001016193,0.0005361553,0.00002321012,0.0008844927,0.0006784644],"genre_scores_gemma":[0.9964684,0.0002628839,0.002004518,0.00006629448,0.0002246252,0.0001233481,0.00006968751,0.0001866594,0.0005935693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1021902,"threshold_uncertainty_score":0.9998001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005544426186134268,"score_gpt":0.2010987055818469,"score_spread":0.1955542793957126,"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."}}