{"id":"W3202304473","doi":"10.3390/en14196098","title":"High Power Normally-OFF GaN/AlGaN HEMT with Regrown p Type GaN","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"CMC Microsystems (Canada); Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"High-electron-mobility transistor; Materials science; Doping; Optoelectronics; Wide-bandgap semiconductor; Transistor; Molecular beam epitaxy; Epitaxy; Layer (electronics); Electrical engineering; Nanotechnology; Voltage; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005226417,0.0001865189,0.0002368393,0.00002954352,0.0000918666,0.0001231361,0.0001339012,0.0000341768,0.003576232],"category_scores_gemma":[0.000003253471,0.0001475068,0.00005669107,0.0001291273,0.00004073954,0.0001494707,0.00003598648,0.00008355132,0.0001125733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001107055,"about_ca_system_score_gemma":0.0001130696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003531375,"about_ca_topic_score_gemma":0.00002144212,"domain_scores_codex":[0.9991184,0.00003493886,0.0001710355,0.0002627832,0.0001392419,0.0002735528],"domain_scores_gemma":[0.9993423,0.0000270833,0.00008108438,0.0003464654,0.0001274532,0.00007561122],"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":[0.000156779,0.0003099176,0.01367624,0.00006847217,0.0004707502,0.0001188921,0.001069436,0.005054107,0.8651915,0.09592164,0.01544228,0.002519955],"study_design_scores_gemma":[0.0005925647,0.00009262058,0.004598698,0.00004968468,0.0000497229,0.000005743448,0.0009829238,0.000007960312,0.9061278,0.0007138078,0.0864048,0.000373642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830253,0.0001535167,0.00001509846,0.0001723217,0.0005654413,0.0000476384,0.00002875782,0.00005691352,0.01593509],"genre_scores_gemma":[0.9940741,0.00001198894,0.0005248795,0.0001954841,0.0003465597,0.000009227574,0.0001556841,0.00003291464,0.004649134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09520783,"threshold_uncertainty_score":0.9973347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006976787864982775,"score_gpt":0.2093276644810554,"score_spread":0.2023508766160727,"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."}}