{"id":"W2051280290","doi":"10.1117/12.873939","title":"Finite difference simulation of thermally tuned hexagonal photonic crystals","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Finite-difference time-domain method; Materials science; Photonic crystal; Thermal conduction; Finite difference method; Refractive index; Optics; Dielectric; Discretization; Photonics; Thermal; Absorption (acoustics); Optoelectronics; Physics; Thermodynamics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003052834,0.0002487852,0.0005174958,0.0002472746,0.0005309954,0.0006447198,0.000735289,0.0008906365,0.001974927],"category_scores_gemma":[0.001006112,0.0002806572,0.0004073366,0.0003522309,0.000665493,0.0002998426,0.0003801417,0.0004514283,0.0001335703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009010024,"about_ca_system_score_gemma":0.001154966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280057,"about_ca_topic_score_gemma":0.00600917,"domain_scores_codex":[0.9998486,0.00002902876,0.00000564809,0.00001634689,0.00005722044,0.00004322192],"domain_scores_gemma":[0.9994461,0.0003162073,0.00005180688,0.00003719962,0.0001088113,0.00003991039],"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":[0.00005394553,0.00003861904,0.0008101091,0.00003205266,0.000009363901,0.00006186643,0.00004912209,0.9892993,0.004874216,0.003248164,0.0001350013,0.001388316],"study_design_scores_gemma":[0.00000672458,0.000008191797,0.00008465986,0.000001906484,0.000001102506,0.000004411664,0.000007839525,0.9987232,0.0008563743,0.0001843626,0.0001187396,0.000002466017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8752875,0.0001898688,0.1000314,0.0003223761,0.00007553468,0.00007829244,0.0006002452,0.0003729052,0.02304196],"genre_scores_gemma":[0.9697855,0.00007210366,0.02684623,0.00004531823,0.000006109804,0.00009055398,0.0002383326,0.00004199917,0.00287389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01280057,"threshold_uncertainty_score":0.02545214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753641088509634,"score_gpt":0.2360551856315271,"score_spread":0.2185187747464308,"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."}}