{"id":"W4210329166","doi":"10.1109/tdei.2022.3146445","title":"Impact of Dispersion Processes and Surfactant on Performance of Silica-Silicone Nanocomposites","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Dielectrics and Electrical Insulation","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Vulcanization; Nanocomposite; Ultimate tensile strength; Thermogravimetric analysis; Pulmonary surfactant; Thermal stability; Silicone rubber; Dispersion (optics); Filler (materials); Calcination; Silicone; Natural rubber; Chemical engineering; Chemistry; Organic chemistry","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":[0.00025356,0.0004057866,0.0002242874,0.0002791593,0.0001661866,0.00028924,0.0001880305,0.0002700123,0.0007310584],"category_scores_gemma":[0.0005182617,0.0001793321,0.00018148,0.0002353177,0.0001471436,0.0004037108,0.0001765503,0.0003337446,0.0002106717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412234,"about_ca_system_score_gemma":0.000136702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003928659,"about_ca_topic_score_gemma":0.001146171,"domain_scores_codex":[0.999743,0.00003219363,0.00003280512,0.00006648161,0.0000896015,0.00003590586],"domain_scores_gemma":[0.9996811,0.0001288908,0.00007690842,0.00001752153,0.00006863712,0.00002700981],"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":[0.00005333914,0.00001379395,0.0001791462,0.00005721363,0.000004774225,0.00003617252,0.00002339241,0.00008907274,0.9983042,0.00001745634,0.000007863794,0.001213493],"study_design_scores_gemma":[0.00000165049,0.000112599,0.0006096608,0.000004208645,0.000008719725,0.00003773431,0.00001482797,0.0003815451,0.9985292,0.000006940722,0.0002900476,0.000002848038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956729,0.001910512,0.001296892,0.00002980618,0.00001691119,0.000009256378,0.00006048173,0.00003382931,0.0009695042],"genre_scores_gemma":[0.9957865,0.001065628,0.002091858,0.00001592971,0.000006907243,0.00001328205,0.00008592126,0.00002640383,0.0009076267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007310584,"threshold_uncertainty_score":0.002445638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296237088969958,"score_gpt":0.2440509217211658,"score_spread":0.2310885508314662,"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."}}