{"id":"W3083405355","doi":"10.3390/nano10091754","title":"Stochastic Finite Element Analysis Framework for Modelling Electrical Properties of Particle-Modified Polymer Composites","year":2020,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Filler (materials); Epoxy; Polymer; Finite element method; Percolation (cognitive psychology); Material properties; Fabrication; Particle (ecology); Material Design; Mechanical engineering; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002617997,0.0001860069,0.0005424439,0.00007405258,0.0001311953,0.0001310064,0.0002552004,0.0000883611,0.0003957982],"category_scores_gemma":[0.0001654353,0.0001444006,0.0001392462,0.0003823282,0.00008567432,0.000134959,0.00006334624,0.00003244203,0.00002331166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001758347,"about_ca_system_score_gemma":0.00005651163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003134604,"about_ca_topic_score_gemma":8.196185e-7,"domain_scores_codex":[0.9982608,0.0001336276,0.000664139,0.0003278679,0.0002664165,0.0003471461],"domain_scores_gemma":[0.999173,0.0001428316,0.0002412949,0.0002019918,0.0001121695,0.0001286395],"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":[0.0005208917,0.0000516942,0.00002995757,0.00007703834,0.0001058379,3.277466e-7,0.001041868,0.08417887,0.9076634,0.006281327,0.000009219419,0.00003954276],"study_design_scores_gemma":[0.0002356304,0.0001271867,0.000003027426,0.00002369377,0.0002170773,2.403298e-7,0.00003121463,0.2805197,0.7185011,0.0001818676,0.00001956241,0.0001396548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5230811,0.0007293714,0.4754891,0.0002231397,0.00008546317,0.0002521256,0.00006771387,0.00006559529,0.000006422861],"genre_scores_gemma":[0.9947017,0.000009885137,0.004586018,0.0003956788,0.0001239835,0.00009619588,0.00001991946,0.00002283882,0.0000437903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4716206,"threshold_uncertainty_score":0.5888484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06865942103861752,"score_gpt":0.2679057062432355,"score_spread":0.199246285204618,"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."}}