{"id":"W2560582305","doi":"10.1364/cleo_at.2016.atu4k.5","title":"Plasmonic coloring of silver using picosecond laser pulses","year":2016,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Plasmon; Fluence; Rendering (computer graphics); Silver nanoparticle; Materials science; Picosecond; Color rendering index; Optoelectronics; Random laser; Laser; Nanoparticle; Plasmonic nanoparticles; Optics; Nanotechnology; Computer science; Phosphor; Physics; Computer graphics (images); Wavelength","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":[0.0001352545,0.0002572283,0.0001195944,0.0001586468,0.0002367603,0.0002996383,0.0002603765,0.0002001018,0.001109441],"category_scores_gemma":[0.0002593394,0.0001786085,0.000132902,0.0001927754,0.0004266892,0.0001465337,0.000278998,0.0004610115,0.0002727271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297944,"about_ca_system_score_gemma":0.0002333293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006641916,"about_ca_topic_score_gemma":0.001270843,"domain_scores_codex":[0.9998684,0.00001459709,0.000004122748,0.00002567012,0.00004888561,0.00003829811],"domain_scores_gemma":[0.9997736,0.00008767977,0.00003978504,0.00004140167,0.00003201361,0.0000254744],"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":[0.00009816614,0.00002179314,0.0001605707,0.00005593258,0.000003996705,0.00009367373,0.0000975649,0.0005397635,0.9933828,0.0007830624,0.0002245788,0.004538148],"study_design_scores_gemma":[0.00001252466,0.00008900783,0.0006112098,0.000003433821,0.000002153959,0.00005047681,0.00002124502,0.002010167,0.9961715,0.0001118715,0.0009099285,0.0000064954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783577,0.0004028225,0.01371249,0.0001308031,0.00006743168,0.00002656097,0.00006476682,0.0002512214,0.006986237],"genre_scores_gemma":[0.9917676,0.0002637117,0.004286346,0.00005155192,0.00001145739,0.00002313741,0.00003964915,0.00004262269,0.00351386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001109441,"threshold_uncertainty_score":0.003711462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411862956770848,"score_gpt":0.2507938667834967,"score_spread":0.2166752372157882,"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."}}