{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063503,0.0001792581,0.0001370833,0.0002497528,0.0001396891,0.0002862601,0.0001840643,0.0002219507,0.0005981592],"category_scores_gemma":[0.0003111915,0.0001516878,0.00009168327,0.0002577517,0.0001969706,0.0001437042,0.00009128571,0.0001373525,0.0001667346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003000749,"about_ca_system_score_gemma":0.0001268636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023937,"about_ca_topic_score_gemma":0.002374581,"domain_scores_codex":[0.9999231,0.00000715724,0.000003755177,0.00001422483,0.00003824586,0.00001341567],"domain_scores_gemma":[0.9998499,0.00004459522,0.00003739587,0.00001316118,0.00004112538,0.00001374401],"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":[0.00007810347,0.00001057977,0.00187988,0.00002207243,0.000007596215,0.00004169954,0.0000303526,0.0003222661,0.9967804,0.00008530704,0.00003883204,0.0007029315],"study_design_scores_gemma":[0.00002177159,0.0002653494,0.04778328,0.000006398229,0.00002490262,0.0001179417,0.00005270195,0.0044807,0.9462526,0.00006995658,0.0009150509,0.00000931134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989567,0.000213206,0.0001351221,0.00001605053,0.000003592707,0.000002320197,0.0001131404,0.000008210795,0.0005515497],"genre_scores_gemma":[0.9987067,0.0001257512,0.0002423449,0.000007179257,0.000003501444,0.000004126697,0.0002160508,0.000005876663,0.0006884513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002023937,"threshold_uncertainty_score":0.004024327,"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."}}