{"id":"W2044076077","doi":"10.1364/iprsn.2011.imc4","title":"Tailoring the Far Field of Bragg Reflection Waveguides","year":2011,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reflection (computer programming); Near and far field; Optics; Field (mathematics); Bragg's law; Gaussian; Physics; Computer science; Diffraction; 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":[0.0005780564,0.0007158915,0.0004076163,0.0002662866,0.0002892006,0.0006772027,0.0004111692,0.0004443367,0.00159479],"category_scores_gemma":[0.0007996411,0.0003377548,0.0002561559,0.0002465881,0.0005244526,0.000845529,0.0004827581,0.0005541254,0.0008849778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004426806,"about_ca_system_score_gemma":0.0003072813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002373332,"about_ca_topic_score_gemma":0.0004006369,"domain_scores_codex":[0.999667,0.00007685389,0.000009916996,0.00006211828,0.000131052,0.00005301581],"domain_scores_gemma":[0.9995639,0.0002066442,0.00006361804,0.00005570099,0.00007802402,0.00003212132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000209304,0.00005904034,0.000423088,0.0001759685,0.0000136854,0.00008521013,0.0000535155,0.02726007,0.9418852,0.01260305,0.0003514092,0.01688047],"study_design_scores_gemma":[0.00007146737,0.000463009,0.0009366848,0.00004821421,0.00002342975,0.00021814,0.0000844302,0.1112987,0.8746235,0.006814023,0.005351695,0.00006672529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6284069,0.003464879,0.3295033,0.0004052646,0.0001380272,0.0001005049,0.0001982399,0.0006787574,0.03710404],"genre_scores_gemma":[0.9282342,0.003050477,0.06364397,0.0001244025,0.00005292031,0.00006138998,0.0001095752,0.0001835897,0.004539492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00159479,"threshold_uncertainty_score":0.005335093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03333958609278166,"score_gpt":0.2473845445323384,"score_spread":0.2140449584395567,"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."}}