{"id":"W2149418781","doi":"10.1109/jlt.2007.916496","title":"Full Vectorial 3-D Sensitivity Analysis and Design Optimization Using BPM","year":2008,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Beam propagation method; Sensitivity (control systems); Multi-mode optical fiber; Algorithm; Finite difference method; Mathematics; Optics; Electronic engineering; Physics; Optical fiber; Engineering; Refractive index; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001987932,0.00009497401,0.000312496,0.000568729,0.00005496591,0.00000977694,0.00005984765,0.0001773883,0.0000150559],"category_scores_gemma":[0.00007075064,0.00008192777,0.00006818911,0.0006597352,0.00008262237,0.000125217,0.00002074739,0.0002213471,0.000001205101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005847354,"about_ca_system_score_gemma":0.0000247579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002646907,"about_ca_topic_score_gemma":0.000003753178,"domain_scores_codex":[0.9993743,0.00002943309,0.0002651929,0.0000769445,0.0001096077,0.0001444871],"domain_scores_gemma":[0.9995811,0.00007811483,0.00009882883,0.00009335307,0.00009635054,0.00005222505],"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":[0.00007546866,0.0000340595,0.001832707,0.00001485103,0.0008025123,0.0004728233,0.0001064519,0.939145,0.0565655,0.000394339,0.00005088067,0.0005053913],"study_design_scores_gemma":[0.0003553696,0.0001687858,0.0007432352,0.00001529034,0.0003960957,0.001392659,0.00002256546,0.9638106,0.03252436,0.0002791352,0.0001530402,0.0001389109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4667419,0.000297654,0.532572,0.00005216548,0.0001701404,0.0000277096,7.391806e-7,0.00005213664,0.0000856432],"genre_scores_gemma":[0.9031152,0.0002954844,0.0964654,0.000007479628,0.0001041379,3.098912e-7,3.03036e-7,0.000009150059,0.000002517181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4363734,"threshold_uncertainty_score":0.3340918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652468730720679,"score_gpt":0.2207546391884087,"score_spread":0.2042299518812019,"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."}}