{"id":"W4393128287","doi":"10.1088/1361-6528/ad3741","title":"Circumventing the ammonia-related growth suppression for obtaining regular GaN nanowires by HVPE","year":2024,"lang":"en","type":"article","venue":"Nanotechnology","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme; LabEx GANEX; H2020 European Research Council; Saint Petersburg State University; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Materials science; Nanowire; Sapphire; Vapor phase; Nanocrystal; Ammonia; Growth rate; Epitaxy; Hydride; Phase (matter); Chemical vapor deposition; Optoelectronics; Chemical engineering; Template; Nanotechnology; Chemical physics; Thermodynamics; Optics; Layer (electronics)","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":[0.0001032935,0.0001932187,0.0001306619,0.00005616542,0.00009519743,0.0002093449,0.0002011808,0.0001433983,0.000441339],"category_scores_gemma":[0.000205965,0.0001271007,0.00009752355,0.00005098042,0.0001575267,0.0001371714,0.0001359051,0.0001720839,0.0001331115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194885,"about_ca_system_score_gemma":0.0001242323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003868369,"about_ca_topic_score_gemma":0.0007832574,"domain_scores_codex":[0.9999307,0.000008631313,0.000004365734,0.00001878807,0.00002030537,0.00001712632],"domain_scores_gemma":[0.9998891,0.00003685444,0.00003409138,0.00001537186,0.00001499614,0.000009526682],"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":[0.00001166736,0.000002978218,0.00008316554,0.00001593091,0.000001595111,0.00001295825,0.000006437573,0.00004193683,0.9992858,0.00005309125,0.000007388764,0.0004771996],"study_design_scores_gemma":[0.000002810961,0.00004290663,0.0008212297,0.000001161777,0.000002602134,0.00003371283,0.000005051316,0.0005703642,0.9981593,0.00001289445,0.0003464292,0.00000133732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949365,0.0002671087,0.003500972,0.00002332541,0.00000924976,0.00001296023,0.00003875729,0.0000393504,0.00117165],"genre_scores_gemma":[0.9958861,0.0001757219,0.003356167,0.0000085426,0.000005157163,0.000009809058,0.00003796322,0.00001811322,0.0005023979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000441339,"threshold_uncertainty_score":0.001476467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008484679899709956,"score_gpt":0.2430385349771629,"score_spread":0.2345538550774529,"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."}}