{"id":"W1986923035","doi":"10.1039/c4nr05094k","title":"Three-dimensional scanning near field optical microscopy (3D-SNOM) imaging of random arrays of copper nanoparticles: implications for plasmonic solar cell enhancement","year":2014,"lang":"en","type":"article","venue":"Nanoscale","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Near-field scanning optical microscope; Materials science; Nanoparticle; Plasmon; Optics; Solar cell; Plasmonic solar cell; Surface plasmon; Near and far field; Optical microscope; Microscopy; Optoelectronics; Nanotechnology; Scanning electron microscope; Polymer solar cell; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002180527,0.000186596,0.000367078,0.0000470996,0.0001007426,0.00002744599,0.0002084384,0.0001072457,0.00006869679],"category_scores_gemma":[0.00009350118,0.0001884374,0.0001332141,0.0001190057,0.0001290265,0.00008904376,0.00005846475,0.0001567889,0.00001948836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000380429,"about_ca_system_score_gemma":0.000045401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001926419,"about_ca_topic_score_gemma":0.0000100201,"domain_scores_codex":[0.9986757,0.00001500223,0.0005049054,0.0002554009,0.0001400741,0.0004089144],"domain_scores_gemma":[0.9987787,0.0005656511,0.00007489551,0.0003622763,0.0001090364,0.0001094531],"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":[0.00009517918,0.00009232992,0.001638128,0.0001506606,0.00002154698,1.677928e-7,0.00007780092,0.002818679,0.9912874,0.0002518533,0.00235175,0.001214522],"study_design_scores_gemma":[0.001604792,0.0001507416,0.0002974994,0.00008950097,0.00004491327,0.000001613037,0.00001078625,0.05112396,0.945346,0.0003025936,0.000852305,0.0001752819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7497925,0.0002715462,0.2481635,0.0002692205,0.0002454372,0.0003940718,0.00002142083,0.00005736781,0.0007850348],"genre_scores_gemma":[0.8923764,0.000008535446,0.107331,0.0001153066,0.00003698017,0.00006453598,0.000007354153,0.00003511883,0.00002472371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.142584,"threshold_uncertainty_score":0.7684255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007462286694837265,"score_gpt":0.2396935156124486,"score_spread":0.2322312289176113,"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."}}