{"id":"W1991658764","doi":"10.1143/jjap.43.3831","title":"Electrical Field Analysis of Nanoscale Field Effect Transistors","year":2004,"lang":"en","type":"article","venue":"Japanese Journal of Applied Physics","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Welch Foundation; National Science Foundation","keywords":"Electric field; Field-effect transistor; Field (mathematics); Nanoscopic scale; Dielectric; Field effect; Analytical Chemistry (journal); Materials science; Intensity (physics); Threshold voltage; Transistor; Condensed matter physics; Voltage; Chemistry; Nanotechnology; Optoelectronics; Physics; Optics; Quantum mechanics","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":[0.0001164694,0.0001102382,0.0004308083,0.0001069062,0.00001940492,0.00001246815,0.0001312972,0.00006070283,0.00003602542],"category_scores_gemma":[0.000009885589,0.00008661814,0.0002172526,0.0005121633,0.00001138818,0.00007799074,0.000005158429,0.000126482,0.000002356563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002779365,"about_ca_system_score_gemma":0.00001096927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001691564,"about_ca_topic_score_gemma":0.000003169914,"domain_scores_codex":[0.9992815,0.000008732026,0.0003309796,0.00006605351,0.0001830406,0.0001297119],"domain_scores_gemma":[0.9995137,0.0001777414,0.00009924035,0.0001124348,0.0000377275,0.0000591828],"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":[0.0001157469,0.00004101043,0.0002241915,0.00003647842,0.0004534909,0.000002932704,0.0009220626,0.06448306,0.9322029,0.0003044553,0.0000307016,0.001182989],"study_design_scores_gemma":[0.0005074292,0.0002246048,0.0006512283,0.00001114808,0.0004323884,0.000004188941,0.00005991066,0.0006900915,0.9967118,0.0005702359,0.00003301907,0.0001039473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977657,0.0000509696,0.0009690028,0.00001246655,0.0001291237,0.00004566128,0.000001016769,0.00002037761,0.001005678],"genre_scores_gemma":[0.9995744,0.00001123357,0.000205455,0.0000654101,0.000128966,0.000001940568,0.000001084444,0.00001055737,9.670032e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06450893,"threshold_uncertainty_score":0.3532186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005071380994490999,"score_gpt":0.2094175205585484,"score_spread":0.2043461395640574,"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."}}