{"id":"W2047522278","doi":"10.1109/antem.2010.5552556","title":"Numerical homogenization of heterogeneous media using FVTD simulations","year":2010,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Homogenization (climate); Dielectric; Volume fraction; Monte Carlo method; Materials science; Finite volume method; Volume (thermodynamics); Statistical physics; Computational physics; Mathematics; Physics; Mechanics; Thermodynamics; Composite material","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":[0.0002748139,0.0003138105,0.000371149,0.0003820866,0.0003555398,0.000440214,0.000619629,0.0004732652,0.001652223],"category_scores_gemma":[0.0009340846,0.0001967322,0.0003475313,0.0002697182,0.0003945832,0.0004048574,0.0005068175,0.0004150959,0.0002677387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363114,"about_ca_system_score_gemma":0.0004606711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003208802,"about_ca_topic_score_gemma":0.001664739,"domain_scores_codex":[0.9998592,0.00002188182,0.000006446959,0.0000201848,0.00007215478,0.00002010722],"domain_scores_gemma":[0.9997614,0.0001249495,0.00002061456,0.00003438591,0.00004572441,0.00001282881],"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":[0.00003772775,0.00004157333,0.0004935903,0.00007547503,0.00001651871,0.0002107337,0.0001225501,0.90325,0.05354731,0.02162652,0.0007025583,0.01987544],"study_design_scores_gemma":[0.000006530045,0.000006347257,0.00006145197,0.00000307634,0.000002502643,0.0000229162,0.000007123657,0.9889641,0.008345617,0.001288784,0.001286719,0.000004771408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05513025,0.0001208234,0.9351787,0.00009560947,0.0000522111,0.00007778779,0.0001017594,0.000579859,0.00866298],"genre_scores_gemma":[0.6081187,0.0002243147,0.3855247,0.00006810845,0.00003082562,0.0001951395,0.0002166997,0.0002521108,0.005369543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003208802,"threshold_uncertainty_score":0.00638026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579544874369112,"score_gpt":0.2713232092099429,"score_spread":0.2555277604662518,"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."}}