{"id":"W2085058923","doi":"10.1117/12.560713","title":"<title>Automatic generation of optical large-signal FET models</title>","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"MESFET; SIGNAL (programming language); Metric (unit); Computer science; Topology (electrical circuits); Transconductance; Process (computing); Electronic engineering; Performance metric; Electronic design automation; CAD; Large-signal model; Small-signal model; Power (physics); Transistor; Voltage; Electrical engineering; Engineering; Field-effect transistor","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":[0.0002138443,0.0001960647,0.0002572032,0.00006358112,0.00003336196,0.0000366693,0.0003852289,0.0001376881,0.0001149482],"category_scores_gemma":[0.00005515703,0.0001764294,0.0002527654,0.0001623314,0.00007811924,0.0003008889,0.00004448619,0.0001655778,0.00001226896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131942,"about_ca_system_score_gemma":0.00002218569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.213915e-7,"about_ca_topic_score_gemma":6.499552e-8,"domain_scores_codex":[0.9987043,1.172336e-8,0.0004371697,0.0001872547,0.0004221559,0.0002490834],"domain_scores_gemma":[0.9993196,0.00002901215,0.0001202257,0.00004964402,0.0004146752,0.00006680524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004118753,0.00004855357,0.000005528591,0.0002664498,0.0001727375,8.005717e-8,0.00007486525,0.004252498,0.4020205,0.5885465,0.00385673,0.0007514617],"study_design_scores_gemma":[0.001224828,0.0001914535,0.00004993247,0.000402001,0.0001970365,0.00001783039,0.0002638629,0.7647144,0.2064906,0.01041858,0.01547434,0.0005551659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633555,0.0003656586,0.003813182,0.0001267216,0.0003643848,0.0002868766,0.00004501832,0.0001232297,0.03151941],"genre_scores_gemma":[0.916034,0.0002077761,0.08266801,0.00004979784,0.0005336301,0.00006154155,0.00001874142,0.00008288029,0.000343615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7604619,"threshold_uncertainty_score":0.719458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199796965334074,"score_gpt":0.2302740052839934,"score_spread":0.210294308750586,"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."}}