{"id":"W4367601130","doi":"10.1063/5.0142242","title":"Epitaxial hexagonal boron nitride with high quantum efficiency","year":2023,"lang":"en","type":"article","venue":"APL Materials","topic":"2D Materials and Applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Lawrence Berkeley National Laboratory; Army Research Office; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Kwanjeong Educational Foundation; National Energy Research Scientific Computing Center; U.S. Department of Energy; McGill University; W. M. Keck Foundation; Division of Materials Research; Office of Science; University of Michigan; National Science Foundation","keywords":"Materials science; Optoelectronics; Band gap; Wide-bandgap semiconductor; Exciton; Quantum efficiency; Epitaxy; Hexagonal boron nitride; Semiconductor; Ultraviolet; Photonic crystal; Phonon; Photonics; Nanotechnology; Condensed matter 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008373653,0.0002341881,0.0002161365,0.0001926025,0.0002039741,0.0002532933,0.0002412107,0.0002874386,0.0008876383],"category_scores_gemma":[0.00009904094,0.0002099944,0.00008523947,0.0001982795,0.00008270132,0.0002318563,0.000234529,0.0001915681,0.0004814124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003784398,"about_ca_system_score_gemma":0.000261616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002458843,"about_ca_topic_score_gemma":0.006309567,"domain_scores_codex":[0.9998636,0.000007738096,0.000004972011,0.0000270252,0.00007213645,0.00002449729],"domain_scores_gemma":[0.9999454,0.000005737886,0.00001368949,0.000005292071,0.00001482482,0.00001509841],"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":[0.00002851007,0.00001873891,0.0002742212,0.00005827363,0.000005423833,0.00004440362,0.000008145432,0.0003620368,0.9961286,0.0003027473,0.0004134474,0.002355435],"study_design_scores_gemma":[0.00007381126,0.0001791011,0.004913,0.00001446915,0.00001439268,0.0002772476,0.00002088495,0.01024772,0.9763115,0.0001170128,0.007802878,0.00002801723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736587,0.001708659,0.006913774,0.0001856344,0.0001834652,0.00006215508,0.001216787,0.0002667599,0.01580406],"genre_scores_gemma":[0.9777822,0.001064932,0.01483271,0.0000669611,0.00002933206,0.00006357988,0.0007663615,0.0000487921,0.005344953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002458843,"threshold_uncertainty_score":0.004889131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298413059885621,"score_gpt":0.2401021489966261,"score_spread":0.2271180183977698,"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."}}