{"id":"W2152265295","doi":"10.1021/nl104163m","title":"Hyperspectral Nanoscale Imaging on Dielectric Substrates with Coaxial Optical Antenna Scan Probes.","year":2011,"lang":"en","type":"article","venue":"Nano Letters","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Basic Energy Sciences; U.S. Department of Energy","keywords":"Materials science; Coaxial; Raman spectroscopy; Optics; Hyperspectral imaging; Microscopy; Dielectric; Antenna (radio); Carbon nanotube; Optoelectronics; Microscope; Nanoscopic scale; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107216,0.0002330013,0.0002054358,0.0001585241,0.00008606712,0.00005329524,0.000235448,0.00006087791,0.00007799404],"category_scores_gemma":[0.0000126813,0.0001907586,0.00005871503,0.0002971186,0.0001380099,0.0001403945,0.00001670272,0.0003275338,0.0001257083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206131,"about_ca_system_score_gemma":0.00003464448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000504885,"about_ca_topic_score_gemma":0.00002631619,"domain_scores_codex":[0.9984748,0.00002050971,0.0001586746,0.0002835109,0.0003301168,0.0007324087],"domain_scores_gemma":[0.9995297,0.00005692917,0.00001630919,0.0002092916,0.00002751132,0.0001602516],"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":[0.0002361613,0.0001120058,0.0132438,0.00004198269,0.00009215307,0.0004094959,0.0005154302,0.001105818,0.9801103,0.0006235741,0.002523888,0.0009854189],"study_design_scores_gemma":[0.001837246,0.0004296629,0.02400733,0.0001249194,0.00004736382,0.0001557913,0.0003069218,0.03898753,0.9324372,0.00003767904,0.0006127324,0.001015609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865208,0.0001184286,0.0005088692,0.0005159744,0.0001353496,0.0001934812,0.00000533526,0.0002840248,0.0117177],"genre_scores_gemma":[0.9961206,0.00002960808,0.003428213,0.0002299664,0.00002105903,0.00002253605,0.000004705304,0.00005021782,0.00009307716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04767306,"threshold_uncertainty_score":0.777891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317549851965878,"score_gpt":0.1995376769445026,"score_spread":0.1863621784248439,"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."}}