{"id":"W7047248024","doi":"","title":"Exploiting Anisotropy of Plasmonic Nanostructures with Polarization-Modulation Infrared Linear Dichroism Microscopy (μPM-IRLD).","year":2018,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Canada Research Chairs; Canadian Institutes of Health Research; Canadian Light Source","keywords":"Anisotropy; Plasmon; Linear dichroism; Infrared; Infrared spectroscopy; Infrared microscopy; Nanostructure; Two-dimensional infrared spectroscopy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002805604,0.0003800231,0.0001238813,0.0003067784,0.000186784,0.0003325557,0.0002921386,0.000368375,0.0006541247],"category_scores_gemma":[0.0004399593,0.0002745345,0.000186055,0.0001956808,0.000472405,0.0004324041,0.0004477988,0.0007380504,0.0002228536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003977075,"about_ca_system_score_gemma":0.0001384451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003374984,"about_ca_topic_score_gemma":0.0007593756,"domain_scores_codex":[0.9997625,0.00005246141,0.00001026786,0.00006193845,0.0000824621,0.00003034789],"domain_scores_gemma":[0.9997241,0.0001028137,0.00008781668,0.00003426511,0.00003395581,0.00001698347],"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":[0.00001689475,0.00001204104,0.0001553745,0.00006371393,0.000004850927,0.00002584297,0.00002765347,0.0001748549,0.9950351,0.0005932634,0.0001649845,0.003725493],"study_design_scores_gemma":[0.000006635601,0.00003670565,0.0007032875,0.000006471646,0.000005405489,0.0001299735,0.0000228476,0.004919528,0.9919587,0.0001957367,0.002006397,0.000008326496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7892475,0.003644725,0.1875281,0.0008931461,0.00017412,0.0001457313,0.0004070424,0.0009894287,0.01697035],"genre_scores_gemma":[0.9396551,0.0009794678,0.05705183,0.0002100301,0.00002913681,0.00009158233,0.0001708246,0.00003925699,0.001772902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006541247,"threshold_uncertainty_score":0.00288564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935903973050363,"score_gpt":0.2960279437464586,"score_spread":0.256668904015955,"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."}}