{"id":"W4383498606","doi":"10.1088/1361-651x/ace540","title":"Dielectric metal/metal oxide nanocomposites: modeling response properties at multiple scales","year":2023,"lang":"en","type":"article","venue":"Modelling and Simulation in Materials Science and Engineering","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nanocomposite; Oxide; Dielectric; Composite material; Metal; Quantum; Matrix (chemical analysis); Quantum mechanics; Physics; Metallurgy; Optoelectronics","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":[0.00107661,0.0001737291,0.0002249697,0.0004894895,0.0001782853,0.000183853,0.00009085867,0.0000574789,0.000002141836],"category_scores_gemma":[0.0001043615,0.0001580329,0.00001530576,0.0005963839,0.00003987153,0.0003790646,0.00005955508,0.00005225484,0.000005853374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007654501,"about_ca_system_score_gemma":0.00001191463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002836786,"about_ca_topic_score_gemma":0.000002257415,"domain_scores_codex":[0.9988187,0.00001948331,0.0003024441,0.0002574818,0.0002150441,0.0003868806],"domain_scores_gemma":[0.9996716,0.00009290206,0.00002027185,0.0001012799,0.00004043821,0.00007347669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002232334,0.00000162069,0.00002320944,0.00004425638,0.000002136361,0.000001199642,0.0001115114,0.5322174,0.4674889,0.000009286579,2.749902e-7,0.00007793541],"study_design_scores_gemma":[0.0001404303,0.00001159709,0.0001904928,0.00004953893,0.000004229666,0.000002259381,0.00001515069,0.8337607,0.1655927,0.000034724,0.00002679282,0.0001713539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985496,0.0002994743,0.01353942,0.00001148126,0.0001823234,0.000141273,0.000003907854,0.0003173083,0.000008799899],"genre_scores_gemma":[0.9991207,0.0002280836,0.0005515082,0.000005049204,0.00002939273,0.00002228701,0.000003284316,0.0000265137,0.00001322406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3018962,"threshold_uncertainty_score":0.6444395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216370577947025,"score_gpt":0.2114434888601849,"score_spread":0.1892797830807146,"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."}}