{"id":"W2106914031","doi":"10.1109/t-dei.2008.4446736","title":"Degradation of polymer dielectrics with nanometric metal-oxide fillers due to surface discharges","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Dielectrics and Electrical Insulation","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Windsor; Indian Institute of Science; Technische Universiteit Eindhoven; Department of Science and Technology, Ministry of Science and Technology, India; U.S. Department of Energy","keywords":"Materials science; Dielectric; Polymer; Surface roughness; Degradation (telecommunications); Composite material; Scanning electron microscope; Epoxy; Surface finish; Nanoparticle; Chemical engineering; Analytical Chemistry (journal); Nanotechnology; Optoelectronics; Organic chemistry; Electronic engineering; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002220238,0.0003422848,0.0002089398,0.0001518474,0.0001166228,0.0002397948,0.0001598019,0.0002487589,0.0005529182],"category_scores_gemma":[0.0005070507,0.0001728469,0.0002265378,0.0001527356,0.0002411723,0.0003096945,0.0002135302,0.0003492984,0.0002127319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156322,"about_ca_system_score_gemma":0.0001070593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002861322,"about_ca_topic_score_gemma":0.0003309705,"domain_scores_codex":[0.999804,0.00002246847,0.00001568528,0.00005167194,0.00006831092,0.00003795381],"domain_scores_gemma":[0.9995058,0.0001487927,0.0001665845,0.00004739131,0.00007786889,0.0000535156],"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":[0.00004175941,0.00001025512,0.0001221711,0.00002983093,0.000004933116,0.00003516535,0.00002381545,0.0000726467,0.998983,0.00001208222,0.000005488723,0.0006588544],"study_design_scores_gemma":[0.000002996436,0.0002668315,0.001192056,0.000002238684,0.000008012923,0.0000539615,0.00001894411,0.0002752478,0.9978682,0.000006951187,0.0003025105,0.000002098485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976249,0.0005270835,0.001316615,0.0000136464,0.00001097747,0.000009667148,0.00003215798,0.00003518489,0.0004297912],"genre_scores_gemma":[0.9966505,0.0005115244,0.001660545,0.00001572507,0.000007468792,0.00001300629,0.00008426578,0.00002204597,0.001034854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005529182,"threshold_uncertainty_score":0.001849711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000756328508279,"score_gpt":0.2275673282800966,"score_spread":0.2075597649950138,"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."}}