{"id":"W7116050860","doi":"10.82417/96qg-ct83","title":"Impact of preparation methods on dielectric and mechanical properties of graphene-epoxy nanocomposites","year":2025,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Composite number; Graphene; Dielectric; Dynamic mechanical analysis; Dispersion (optics); Nanocomposite; Rheology; Ultrasonic sensor; Rheometry; Viscosity","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":[0.0006290897,0.0005753111,0.0011225,0.001438709,0.00004570278,0.00003504053,0.0003041193,0.00050342,0.0002709532],"category_scores_gemma":[0.0003958817,0.0004369113,0.0003521914,0.00103468,0.0001584966,0.00007281551,0.0001273154,0.0002967809,0.0000525553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291506,"about_ca_system_score_gemma":0.0002953566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007363574,"about_ca_topic_score_gemma":0.0002426335,"domain_scores_codex":[0.9972165,0.0008271774,0.0004835172,0.0006573077,0.0004481289,0.0003673977],"domain_scores_gemma":[0.9979903,0.0002003385,0.000808139,0.0007430812,0.0001533751,0.000104811],"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":[0.001401708,0.0004944716,0.0004412792,0.0006131239,0.001335892,0.000002477426,0.0004112548,0.00007253414,0.9196873,0.003691726,0.06954674,0.002301547],"study_design_scores_gemma":[0.001642469,0.00303068,0.002216314,0.002988435,0.0008348604,0.00001175468,0.00004181629,0.001124334,0.9717736,0.0005290981,0.01475852,0.001048078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1974101,0.05355485,0.005291744,0.0002990642,0.0009629498,0.01050028,0.001190082,0.001782586,0.7290084],"genre_scores_gemma":[0.6556662,0.0006637545,0.0206136,0.00002455626,0.0001671846,0.0001766817,0.00006988271,0.001291102,0.321327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4582561,"threshold_uncertainty_score":0.9998083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859168365075767,"score_gpt":0.3353366210837363,"score_spread":0.3167449374329786,"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."}}