{"id":"W2057121578","doi":"10.1117/12.463897","title":"<title>Converging lower bounds to the photonic bandgap edges</title>","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Upper and lower bounds; Convergence (economics); Photonics; Band gap; Computation; Photonic crystal; Mathematics; Algorithm; Mathematical analysis; Applied mathematics; Optics; Physics; Optoelectronics","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":[0.001429567,0.0008989255,0.0009324356,0.001664385,0.0009990557,0.003055322,0.001630806,0.001288569,0.09069238],"category_scores_gemma":[0.005447996,0.0004984209,0.0005940815,0.001249783,0.0009829857,0.003048562,0.001590079,0.002928256,0.04186091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198321,"about_ca_system_score_gemma":0.0008418626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493342,"about_ca_topic_score_gemma":0.002037116,"domain_scores_codex":[0.9990302,0.000132264,0.00005668563,0.0001393819,0.0005421904,0.00009921823],"domain_scores_gemma":[0.9978924,0.0006789939,0.000146415,0.0006023549,0.0005978784,0.00008190554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003336329,0.0001403224,0.0008942172,0.0007429586,0.00002154995,0.0003408536,0.0002673172,0.03468252,0.03861072,0.4208056,0.144227,0.3589334],"study_design_scores_gemma":[0.00004400387,0.00009421384,0.000933775,0.0004074915,0.00001795151,0.0003815741,0.0001270753,0.3340586,0.1666586,0.1217512,0.3754251,0.0001003537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0113657,0.0009182526,0.7288176,0.001426086,0.00185395,0.0001733665,0.001714201,0.004578327,0.2491525],"genre_scores_gemma":[0.1487082,0.001814082,0.6549581,0.0007233198,0.0003652473,0.0006105506,0.004066636,0.01062424,0.1781296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09069238,"threshold_uncertainty_score":0.3033962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060328244924991,"score_gpt":0.2084256884351694,"score_spread":0.1978224059859195,"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."}}