{"id":"W1833466190","doi":"","title":"Light scattering by nonspherical particles: Numerical simulation and applications.","year":2000,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finite-difference time-domain method; Scattering; Light scattering; Optics; Light scattering by particles; Perfectly matched layer; Dielectric; Mie scattering; Refractive index; Computational physics; Physics; Scattering theory; Materials science; Optoelectronics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000005422746,0.0001031622,0.0001304818,0.000005867556,0.00006874176,0.00001421954,0.00005971287,0.00001746853,0.0001254937],"category_scores_gemma":[0.000001121561,0.0001041121,0.00001005046,0.00007926399,0.00002488077,0.0001223837,0.00001562032,0.00006864912,8.143549e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003586398,"about_ca_system_score_gemma":0.000051619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076143,"about_ca_topic_score_gemma":0.00007881056,"domain_scores_codex":[0.9991301,0.00002911394,0.0001767748,0.0001293232,0.0003661073,0.0001685221],"domain_scores_gemma":[0.9995062,0.0002073733,0.00002138115,0.00008905798,2.135793e-7,0.0001757951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001619636,0.00003859881,0.008775676,0.000138524,0.00005592775,0.000007255313,0.00008010831,0.06634372,0.1217927,0.003829926,0.0006582305,0.7981173],"study_design_scores_gemma":[0.0003347843,0.00006633241,0.01699218,0.00002279673,0.00001611806,0.00000400251,0.0001252424,0.7810156,0.05848005,0.0006312308,0.1420221,0.0002896321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7174453,0.00255251,0.06269002,0.005105684,0.0001222118,0.0006308499,0.00007589464,0.0001842744,0.2111933],"genre_scores_gemma":[0.9949954,0.00008624764,0.003785482,0.0004506425,0.0000277334,0.00001202295,0.00000198754,0.00001514206,0.0006253521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7978277,"threshold_uncertainty_score":0.4245569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002703370144651945,"score_gpt":0.1641621618152939,"score_spread":0.1614587916706419,"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."}}