{"id":"W4386470690","doi":"10.32920/24092127","title":"Decoupling and tuning the light absorption and scattering resonances in metallic composite nanostructures","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"","keywords":"Materials science; Surface plasmon resonance; Scattering; Resonance (particle physics); Absorption (acoustics); Light scattering; Silicon; Nanoparticle; Decoupling (probability); Optoelectronics; Nanostructure; Optics; Nanotechnology; Atomic physics; Composite material; Physics","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":[0.00008209676,0.0001872905,0.0001441661,0.0001517777,0.0001358128,0.0002569097,0.000172377,0.0002190344,0.000708812],"category_scores_gemma":[0.0001115925,0.0001617167,0.0001335314,0.0001144445,0.0002810055,0.0001507356,0.0001530786,0.0002365922,0.000330997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927897,"about_ca_system_score_gemma":0.0001279195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002533925,"about_ca_topic_score_gemma":0.0005695957,"domain_scores_codex":[0.9999276,0.000006154018,0.000003532129,0.00002435122,0.00002568136,0.00001263415],"domain_scores_gemma":[0.9999524,0.0000147044,0.000009913415,0.000006569518,0.000009819622,0.000006596733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001861769,0.000006782785,0.00003169726,0.00001500749,0.000001291224,0.00001632916,0.000009425788,0.0002211873,0.9984242,0.0001989927,0.00002738655,0.001029146],"study_design_scores_gemma":[0.000004134403,0.00003224703,0.0001913291,0.000001006661,0.000002254532,0.00002956054,0.000005542794,0.002801809,0.9962793,0.00007802193,0.0005724012,0.000002369736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806739,0.0004887141,0.01175942,0.0000831726,0.00004735391,0.00001378883,0.00003703649,0.0001634494,0.006733204],"genre_scores_gemma":[0.9849063,0.0002366891,0.01201766,0.00003205585,0.00000832912,0.00001310407,0.00004966044,0.00004707984,0.002689173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000708812,"threshold_uncertainty_score":0.002371252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013898741836486,"score_gpt":0.2618714720101192,"score_spread":0.2317324845917543,"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."}}