{"id":"W2054972095","doi":"10.1016/j.jcrysgro.2008.10.105","title":"Selectively grown AlGaN/GaN HEMTs on Si(111) substrates for integration with silicon microelectronics","year":2008,"lang":"en","type":"article","venue":"Journal of Crystal Growth","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Microstructural Sciences","funders":"","keywords":"Transconductance; Materials science; Microelectronics; Optoelectronics; Silicon; Substrate (aquarium); Transistor; Epitaxy; Layer (electronics); High-electron-mobility transistor; Molecular beam epitaxy; Nanotechnology; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001732819,0.000217056,0.0003481954,0.0001083457,0.0001415475,0.00006701926,0.0001538113,0.00005007117,0.0000589435],"category_scores_gemma":[0.00000966778,0.0001558233,0.000160015,0.0001176197,0.00005031747,0.0003063295,0.000006049991,0.0002171815,0.000002591673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006230494,"about_ca_system_score_gemma":0.0002417068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005068609,"about_ca_topic_score_gemma":0.00001261688,"domain_scores_codex":[0.9988914,0.00004157109,0.0004050957,0.000166534,0.000199667,0.0002957529],"domain_scores_gemma":[0.9988084,0.00009141937,0.0005013988,0.00009020204,0.0004032511,0.0001053731],"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":[0.0008280081,0.0002438085,0.003426995,0.00003005204,0.0001755283,0.000008692869,0.0004401903,0.00005825727,0.9888063,0.004650773,0.0009429429,0.0003884655],"study_design_scores_gemma":[0.001689437,0.00273555,0.002325409,0.00008951848,0.00007794011,0.0000857754,0.0003608633,0.00004836833,0.9876,0.003966717,0.0007740427,0.0002463273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964393,0.00006009121,0.002292633,0.0001314419,0.0001318246,0.0002167282,0.00003765735,0.00001126918,0.0006790001],"genre_scores_gemma":[0.9987344,0.000009797613,0.0004845769,0.00007993286,0.0005221707,0.000008771845,0.00002684515,0.00003196166,0.0001014993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002491742,"threshold_uncertainty_score":0.6354289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280679066371262,"score_gpt":0.2289135733018439,"score_spread":0.2161067826381313,"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."}}