{"id":"W4213319434","doi":"10.1109/jqe.2022.3151965","title":"III-Nitride Nanostructures for High Efficiency Micro-LEDs and Ultraviolet Optoelectronics","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Quantum Electronics","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Light-emitting diode; Optoelectronics; Materials science; Diode; Nitride; Ultraviolet; Gallium nitride; Dopant; Molecular beam epitaxy; Laser; Wide-bandgap semiconductor; Microscale chemistry; Nanostructure; Nanotechnology; Optics; Epitaxy; Doping","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006366,0.0002577821,0.0005023775,0.0001526592,0.0004032684,0.00009093745,0.0003963769,0.0000483473,0.0001736858],"category_scores_gemma":[0.00001040346,0.0002324739,0.0002024925,0.0001685317,0.00004879869,0.0001290676,0.00003718356,0.0005388874,6.849073e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367224,"about_ca_system_score_gemma":0.0005712805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006769063,"about_ca_topic_score_gemma":0.000003080159,"domain_scores_codex":[0.998067,0.0001042999,0.0006551876,0.0002356228,0.0002959931,0.0006418676],"domain_scores_gemma":[0.9986473,0.0001514218,0.0007195888,0.000182623,0.0001797291,0.0001193644],"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":[0.0003677793,0.0001573676,0.0002952577,0.00003064676,0.0001979042,0.000004077699,0.0001950143,0.001219437,0.9674405,0.02714971,0.001851476,0.001090759],"study_design_scores_gemma":[0.004413512,0.003401764,0.0001228072,0.00003433615,0.0003595616,0.000208447,0.0005408716,0.0006212211,0.9066369,0.04937899,0.03366816,0.0006134643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99221,0.002568915,0.00346398,0.0002291988,0.001055252,0.0002782885,0.0001632769,0.00001164168,0.00001949885],"genre_scores_gemma":[0.998655,0.0001270949,0.0002990335,0.0001829009,0.0005741713,0.00002011855,0.00003224599,0.00004241415,0.0000670689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0608037,"threshold_uncertainty_score":0.9480011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008141567666231971,"score_gpt":0.243907103609516,"score_spread":0.2357655359432841,"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."}}