{"id":"W4249721290","doi":"10.1149/ma2020-01241390mtgabs","title":"Readout Circuit Design Using Experimental Data of Line-TFET Devices","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Amplifier; Electrical engineering; Computer science; Circuit design; Electronic engineering; Electronic circuit; Capacitor; Bandwidth (computing); Transistor; Engineering; Voltage; CMOS; Telecommunications","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":[0.0008952833,0.0006813396,0.0004321581,0.0005235439,0.0004754279,0.001066174,0.002088893,0.001062814,0.01140817],"category_scores_gemma":[0.001912078,0.0002952908,0.0003553424,0.0005658271,0.0004115147,0.001465032,0.0003752946,0.0007894548,0.00283982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008460073,"about_ca_system_score_gemma":0.0003182403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003081902,"about_ca_topic_score_gemma":0.0003619929,"domain_scores_codex":[0.9992462,0.00007261529,0.00006077693,0.0002272128,0.0003367586,0.00005648708],"domain_scores_gemma":[0.9991153,0.0002356918,0.00008004348,0.0001305291,0.0004124446,0.00002601423],"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":[0.0003873867,0.0002045208,0.001130631,0.001061286,0.00005967991,0.0003220475,0.0002111456,0.002312205,0.9257275,0.00524549,0.004665187,0.05867288],"study_design_scores_gemma":[0.00006095243,0.00080795,0.001100543,0.00005272881,0.00004770889,0.0003251548,0.00004684085,0.01565093,0.9538037,0.0007161786,0.02735915,0.00002811168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1967356,0.002400278,0.7622899,0.001307114,0.001457389,0.002323919,0.004781059,0.005719843,0.02298495],"genre_scores_gemma":[0.680708,0.001338121,0.3004028,0.0005615749,0.0002536899,0.001634545,0.002253263,0.0005714222,0.01227649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01140817,"threshold_uncertainty_score":0.03816414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806207351436543,"score_gpt":0.3132563634645133,"score_spread":0.132635628320859,"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."}}