{"id":"W2620570827","doi":"10.1587/elex.14.20170448","title":"A hybrid model of III-V FETs with accurate high-order derivatives","year":2017,"lang":"en","type":"article","venue":"IEICE Electronics Express","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"High-electron-mobility transistor; Artificial neural network; Voltage; Electronic engineering; Topology (electrical circuits); Order (exchange); Biological system; Computer science; Transistor; Materials science; Engineering; Electrical engineering; Artificial intelligence; Biology","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":[0.00007247816,0.0002291315,0.0002757589,0.00003954375,0.0001665077,0.00007061131,0.0005847319,0.00005014213,0.00002483775],"category_scores_gemma":[0.00001357168,0.0002081312,0.00003309053,0.00004226446,0.00008591723,0.0005771315,0.0000439582,0.0002209149,0.000003619262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006188718,"about_ca_system_score_gemma":0.00006064791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001675781,"about_ca_topic_score_gemma":0.00001224756,"domain_scores_codex":[0.9988683,0.00001167972,0.0002216024,0.0002456193,0.0002043321,0.0004484506],"domain_scores_gemma":[0.9989032,0.0000306937,0.0001665299,0.0007335524,0.0001063536,0.00005973165],"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":[0.00004133251,0.00006329732,0.00008235766,0.0001311422,0.0002687762,0.000007302996,0.0005590951,0.4446418,0.5415395,0.008520731,0.0004083184,0.003736353],"study_design_scores_gemma":[0.001744745,0.0001626591,0.00009929825,0.0001417256,0.00007333493,0.000009255378,0.00009179788,0.2434029,0.7420812,0.006877117,0.004611852,0.0007041006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319553,0.001442845,0.2629689,0.00001792838,0.0001666889,0.0002398878,0.00002739828,0.0001304299,0.003050643],"genre_scores_gemma":[0.9960019,0.0004709273,0.003038253,0.00002640042,0.0000586206,0.00004476966,0.00000879358,0.00005995723,0.000290397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2640466,"threshold_uncertainty_score":0.8487344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802098167853424,"score_gpt":0.245148472259728,"score_spread":0.2271274905811937,"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."}}