{"id":"W2969683105","doi":"10.1109/nusod.2019.8806850","title":"Efficient Optical Modeling of VCSELs using Full-Vectorial FDFD method","year":2019,"lang":"en","type":"article","venue":"","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Crosslight Software (Canada)","funders":"","keywords":"Vertical-cavity surface-emitting laser; Solver; Laser; Polarization (electrochemistry); Computer science; Optics; Materials science; Optoelectronics; Physics; Chemistry","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":[0.0002075676,0.0005237759,0.0003477364,0.0003828692,0.0002862648,0.0006891076,0.0006956938,0.0008792471,0.001666068],"category_scores_gemma":[0.0004651893,0.0003168744,0.0005361889,0.0003482596,0.0002911382,0.0006597907,0.000317861,0.000388146,0.0004732943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440869,"about_ca_system_score_gemma":0.0008405558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006891838,"about_ca_topic_score_gemma":0.003740458,"domain_scores_codex":[0.999881,0.00002194763,0.000005369161,0.00001575336,0.00006070283,0.00001520375],"domain_scores_gemma":[0.9998616,0.00005271191,0.00001835535,0.0000145538,0.00004686604,0.000005971467],"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":[0.00002058021,0.00002644291,0.0005275831,0.00007573726,0.00001906945,0.0001640246,0.00008286504,0.9453582,0.02144491,0.01472437,0.0007259522,0.01683043],"study_design_scores_gemma":[0.000001788399,0.000003398905,0.00005737644,0.000003489247,0.000001277042,0.00001853255,0.000005409393,0.9976749,0.0008850287,0.0005145036,0.0008310793,0.000003339595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03807577,0.0005844539,0.9490549,0.0001822692,0.00007110824,0.00004795505,0.000314847,0.0004505128,0.01121819],"genre_scores_gemma":[0.6522479,0.001338696,0.3261004,0.0001430835,0.00005497822,0.0003049511,0.000589853,0.0002451998,0.01897486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006891838,"threshold_uncertainty_score":0.01370347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068382178296131,"score_gpt":0.2629899634596722,"score_spread":0.2423061416767109,"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."}}