{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001563766,0.000201977,0.0003107509,0.0003196738,0.0002675994,0.0002738156,0.0003202085,0.0004869073,0.001701996],"category_scores_gemma":[0.0007464828,0.0001176801,0.0003164197,0.0002915462,0.0003426449,0.0004365873,0.0001640886,0.0001994764,0.0001057161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005662463,"about_ca_system_score_gemma":0.0003127571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002211187,"about_ca_topic_score_gemma":0.0009750187,"domain_scores_codex":[0.9999311,0.00001163174,0.00000239399,0.00001007424,0.00002777418,0.00001706475],"domain_scores_gemma":[0.9997786,0.0001282849,0.00003131998,0.00001297889,0.00003713658,0.000011593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000351803,0.00002350439,0.0009251907,0.00005544164,0.00001447301,0.00009750653,0.00003882832,0.9760042,0.01342259,0.006530379,0.0002330259,0.002619607],"study_design_scores_gemma":[0.000008834385,0.00001578501,0.000396565,0.000002859791,0.000002172604,0.00001264893,0.000008153082,0.9963152,0.001750186,0.001181983,0.0003016509,0.000004033141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397677,0.0005190248,0.04474186,0.0003913641,0.00004606194,0.00004031134,0.0003449193,0.0002040194,0.01394485],"genre_scores_gemma":[0.9940166,0.0001394492,0.004627087,0.0000293141,0.00001190553,0.00003856428,0.0001048467,0.00001764985,0.001014577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002211187,"threshold_uncertainty_score":0.005693793,"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."}}