{"id":"W2290449172","doi":"10.1002/pssb.201552617","title":"Electrical and structural properties of AlGaNAs alloys grown by chemical beam epitaxy","year":2016,"lang":"en","type":"article","venue":"physica status solidi (b)","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Institut National de la Recherche Scientifique; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Annealing (glass); Molecular beam epitaxy; Materials science; Aluminium; Epitaxy; Electron mobility; Nitride; Chemical beam epitaxy; Charge-carrier density; Analytical Chemistry (journal); Optoelectronics; Chemistry; Metallurgy; Nanotechnology; Doping","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":[0.00004184282,0.0002195935,0.0003687271,0.00002533152,0.00005679407,0.00003391619,0.0001348681,0.00003933856,0.000120463],"category_scores_gemma":[0.000008639923,0.0001388686,0.00008732505,0.00007259804,0.0001583495,0.0001833008,0.00007031066,0.00007552429,0.00001202771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002102015,"about_ca_system_score_gemma":0.00005344223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004092813,"about_ca_topic_score_gemma":9.147327e-7,"domain_scores_codex":[0.9987614,0.00003321484,0.0002670617,0.0003053857,0.0001651517,0.0004678089],"domain_scores_gemma":[0.9993772,0.00004728754,0.0001448238,0.0002084106,0.0000701243,0.0001521548],"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":[0.0000378545,0.00005568878,0.00201743,0.0000228799,0.00007065659,2.044265e-7,0.0001478501,2.113694e-7,0.9906817,0.002528167,0.001262043,0.003175322],"study_design_scores_gemma":[0.0006254581,0.00007123063,0.0004585882,0.00003549231,0.00003990805,5.340311e-7,0.00004840222,0.00002644008,0.9940143,0.002847276,0.001602899,0.0002295051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988644,0.0002034339,0.00004876268,0.0001518296,0.00007678851,0.000169709,0.0002100632,0.00002780804,0.000247221],"genre_scores_gemma":[0.9994668,0.00001470047,0.00007199075,0.00003423271,0.0002347301,0.00002257381,0.0000295087,0.00002739017,0.00009812235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003332574,"threshold_uncertainty_score":0.5662897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067723595150672,"score_gpt":0.2223672611625041,"score_spread":0.2116900252109974,"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."}}