{"id":"W1979598153","doi":"10.1364/oe.22.0a1680","title":"Improvement of the light extraction efficiency of GaN-based LEDs using rolled-up nanotube arrays","year":2014,"lang":"en","type":"article","venue":"Optics Express","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada","keywords":"Light-emitting diode; Materials science; Optoelectronics; Nanotube; Extraction (chemistry); Diode; Optics; Carbon nanotube; Nanotechnology; 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":[0.000214223,0.0001425932,0.0002503273,0.00003713993,0.00008461317,0.00003011418,0.0002275321,0.00004433323,0.0001406074],"category_scores_gemma":[0.00001000173,0.0001036196,0.0001340162,0.00009107721,0.00004786198,0.00006945927,0.00002651338,0.00006935078,0.000001667583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001326388,"about_ca_system_score_gemma":0.00006560131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001449526,"about_ca_topic_score_gemma":0.000001048769,"domain_scores_codex":[0.9990212,0.00004646948,0.0003680778,0.0001730909,0.0002050518,0.0001860994],"domain_scores_gemma":[0.9989592,0.00005273448,0.0003996089,0.0004142596,0.0001351852,0.00003904866],"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":[0.00001683592,0.0001288862,0.0005213588,0.00006229142,0.00001972976,4.087476e-8,0.0001534095,0.00416344,0.9927057,0.001887713,0.00003122933,0.0003093683],"study_design_scores_gemma":[0.0005910611,0.00006419148,0.00005320647,0.00008204214,0.00005670264,1.064572e-7,0.0001467958,0.006969529,0.9907289,0.0002489571,0.0009469563,0.0001116228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983232,0.0000122217,0.01223067,0.00004361241,0.0008046539,0.0002361798,0.00003322149,0.000008362479,0.003399102],"genre_scores_gemma":[0.9991429,4.469327e-7,0.000520225,0.00002145579,0.0001536229,0.0000101058,0.000006591833,0.0000176784,0.0001270053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01591089,"threshold_uncertainty_score":0.4225485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306550001936762,"score_gpt":0.2475370665015873,"score_spread":0.2344715664822197,"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."}}