{"id":"W2096778742","doi":"10.1364/oe.16.001820","title":"Multiple-multipole simulation of optical nearfields in discrete metal nanosphere assemblies","year":2008,"lang":"en","type":"article","venue":"Optics Express","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; McGill University; Canadian Institute for Advanced Research","keywords":"Multipole expansion; SPHERES; Nanoparticle; Materials science; Electromagnetic field; Scattering; Electric field; Optics; Light scattering; Field (mathematics); Absorption (acoustics); Nanophotonics; Nanostructure; Resonance (particle physics); Mie scattering; Physics; Nanotechnology; Atomic physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004536179,0.0003146428,0.0005048583,0.0004195647,0.0006978535,0.0005860726,0.0007447142,0.00104148,0.001403739],"category_scores_gemma":[0.001244997,0.0004266107,0.0004438856,0.0003679454,0.0005975355,0.0005227343,0.0004413217,0.0005664061,0.0001727207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146031,"about_ca_system_score_gemma":0.0009197911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026714,"about_ca_topic_score_gemma":0.00550532,"domain_scores_codex":[0.9998809,0.00002768615,0.000003985054,0.00001431788,0.0000397471,0.00003345781],"domain_scores_gemma":[0.9995558,0.0002497001,0.00003889155,0.00003351913,0.0000641803,0.00005792486],"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":[0.00002627843,0.00003389769,0.0003918969,0.00001711179,0.000008383102,0.00008144906,0.00005378784,0.9939382,0.002322551,0.001994208,0.00009114757,0.001041134],"study_design_scores_gemma":[0.00001018962,0.000007708769,0.00007095656,0.000001436187,0.00000148027,0.000004232677,0.00001034361,0.9990842,0.0004868,0.0002253862,0.00009488953,0.00000230607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223167,0.000161171,0.0637733,0.0003416347,0.00004287959,0.00008749723,0.0001424086,0.0002859432,0.01284836],"genre_scores_gemma":[0.9777645,0.00007198452,0.01967776,0.00005865419,0.00001168759,0.00009000923,0.0000711167,0.00007564957,0.002178693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026714,"threshold_uncertainty_score":0.02041477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578642419424944,"score_gpt":0.2663345758139199,"score_spread":0.2405481516196705,"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."}}