{"id":"W4289875214","doi":"","title":"Scaling of GaN HEMTs Thermal Transient Characteristics","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Scaling; Transient (computer programming); Materials science; Thermal; Optoelectronics; Gallium nitride; Wide-bandgap semiconductor; Transient analysis; Electronic engineering; Computer science; Transient response; Electrical engineering; Physics; Composite material; Engineering; Thermodynamics; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001971435,0.0003007499,0.0004787553,0.00008755859,0.0001495856,0.0001881899,0.0007552305,0.0001517387,0.00100605],"category_scores_gemma":[0.00007738331,0.0003044405,0.0002388644,0.0001110007,0.0001937041,0.00006769622,0.000350734,0.0002992058,0.00002893965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002785929,"about_ca_system_score_gemma":0.0001886531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026949,"about_ca_topic_score_gemma":0.00004112297,"domain_scores_codex":[0.9969231,0.001403441,0.0006242864,0.000497335,0.000258192,0.0002936436],"domain_scores_gemma":[0.9962737,0.0003528215,0.0006963282,0.001284085,0.001263933,0.0001291288],"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":[0.00007484224,0.002358935,0.0287548,0.001273498,0.0007160385,0.000004503695,0.03333843,0.00009249576,0.7835852,0.05431936,0.001215754,0.09426614],"study_design_scores_gemma":[0.0006017978,7.336483e-7,0.01127952,0.002488223,0.0001454563,9.824225e-7,0.0002116122,0.002267841,0.9727036,0.002155097,0.007530683,0.0006143983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630097,0.0001140972,0.01484241,0.0005671988,0.0004492772,0.0003125432,0.0004211657,0.00006086545,0.02022273],"genre_scores_gemma":[0.9938586,0.00002838804,0.004154815,0.00002873364,0.0001242747,0.00002954843,0.0008788967,0.00004495511,0.0008517391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1891184,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483112199467836,"score_gpt":0.2318112766385786,"score_spread":0.2169801546439003,"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."}}