{"id":"W4220895044","doi":"10.1117/12.2610477","title":"Iterative and efficient Bloch mode calculations for integrated photonics applications","year":2022,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Photonics; Nanophotonics; Apodization; Computer science; Photonic crystal; Frequency domain; Periodic boundary conditions; Matching (statistics); Boundary (topology); Integrated optics; Electronic engineering; Optics; Boundary value problem; Physics; Engineering; Mathematics","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":[0.0009018343,0.0006656202,0.0006009915,0.000506684,0.000548174,0.0006833672,0.001296845,0.001063422,0.003881159],"category_scores_gemma":[0.003457414,0.0004692207,0.0004340864,0.0007444073,0.0006643169,0.0008394903,0.0009633735,0.001155689,0.00143956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007088506,"about_ca_system_score_gemma":0.001616918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003165369,"about_ca_topic_score_gemma":0.00489969,"domain_scores_codex":[0.9996619,0.0001105008,0.00001213609,0.00002011673,0.0001594257,0.00003584905],"domain_scores_gemma":[0.9991822,0.0003970143,0.00005626647,0.00013051,0.0001943645,0.0000396481],"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":[0.000159071,0.0001537517,0.0006133495,0.0002416193,0.00008730076,0.0001313576,0.0002756664,0.7799008,0.02506557,0.112231,0.003266107,0.07787441],"study_design_scores_gemma":[0.00001229669,0.000008689756,0.0000450411,0.000007177892,0.000003259069,0.00001043831,0.000008708947,0.9894706,0.002091012,0.007435384,0.0009007616,0.000006755248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02246636,0.0002117148,0.9649416,0.0001639983,0.00003439696,0.00006950504,0.00009009292,0.0009397003,0.0110826],"genre_scores_gemma":[0.2443346,0.0002806608,0.7495337,0.00009467567,0.00002886668,0.0003635339,0.0001557368,0.0006464221,0.004561931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003881159,"threshold_uncertainty_score":0.01298374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008464505460982175,"score_gpt":0.2429062494282244,"score_spread":0.2344417439672422,"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."}}