{"id":"W4313892838","doi":"10.1109/jqe.2023.3234991","title":"Improving Charge Carrier Transport Properties in AlGaN Deep Ultraviolet Light Emitters Using Al-Content Engineered Superlattice Electron Blocking Layer","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Quantum Electronics","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Optoelectronics; Superlattice; Diode; Ultraviolet; Light-emitting diode; Laser; Quantum well; Electron; Voltage droop; Charge carrier; Optics; Voltage; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007219826,0.0003442386,0.0006015197,0.0002650597,0.0001135098,0.00007603537,0.0003029017,0.0000904641,0.00003967876],"category_scores_gemma":[0.00001031715,0.0002934936,0.0002599151,0.0003489558,0.00002342208,0.0003828109,0.00001130882,0.0006188895,0.000005091564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002009304,"about_ca_system_score_gemma":0.0003515772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002824427,"about_ca_topic_score_gemma":0.00003062236,"domain_scores_codex":[0.9973955,0.00008689971,0.0009233631,0.000273765,0.0003525939,0.0009679387],"domain_scores_gemma":[0.9989948,0.0000386531,0.000434818,0.0002028366,0.0001807252,0.0001482282],"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":[0.00008530021,0.00007789509,0.003063635,0.00005209204,0.0001282489,0.0000406213,0.0008045833,0.00191867,0.9933413,0.0002067072,0.00003828331,0.0002427187],"study_design_scores_gemma":[0.001352619,0.000283684,0.000535907,0.0002452965,0.0001808099,0.00005888575,0.000847646,0.01601466,0.9788972,0.00009599921,0.001024682,0.0004626004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971337,0.001001789,0.0006317912,0.0002418264,0.0006973198,0.0002338503,0.00001590708,0.00003261757,0.00001118984],"genre_scores_gemma":[0.9991317,0.0001017262,0.000044779,0.000119965,0.0004699192,0.000008794965,0.00001290363,0.00007504271,0.00003512654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01444403,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501686431838759,"score_gpt":0.2519665481276321,"score_spread":0.2169496838092446,"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."}}