{"id":"W3036391688","doi":"10.1088/1361-6641/ab9ea8","title":"Experimental silicon tunnel-FET device model applied to design a Gm-C filter","year":2020,"lang":"en","type":"article","venue":"Semiconductor Science and Technology","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":"Silicon; Filter (signal processing); Materials science; Optoelectronics; Engineering physics; Electronic engineering; Electrical engineering; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001823644,0.0002777746,0.000284542,0.0002841123,0.0001722006,0.00007289027,0.0007189877,0.0001486769,0.00004978741],"category_scores_gemma":[0.00005788708,0.0002739183,0.00002016244,0.001368674,0.0004172431,0.0004020917,0.0001893635,0.0002494884,0.00007699677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001176658,"about_ca_system_score_gemma":0.00008868689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002023963,"about_ca_topic_score_gemma":7.538661e-7,"domain_scores_codex":[0.9981644,0.000007089778,0.0002647273,0.0006672572,0.0002967125,0.000599814],"domain_scores_gemma":[0.9992111,0.0000222177,0.00003790026,0.0003572311,0.00008628874,0.0002852475],"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":[0.000005831242,0.00001221298,0.00002737235,0.00001484336,0.000009470146,0.000003252992,0.0007757755,0.003411268,0.9897888,0.001826169,0.0007692651,0.003355697],"study_design_scores_gemma":[0.0002935314,0.0001189248,0.000004938239,0.00001257891,0.000009180219,0.00001376295,0.001332273,0.0563869,0.9386055,0.0008253161,0.002017294,0.0003797823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788179,0.0007839048,0.01683712,0.0005055387,0.0002203915,0.0005774818,0.00001134976,0.0008251273,0.00142118],"genre_scores_gemma":[0.9920827,0.00002385874,0.006052162,0.001620843,0.00005415469,0.0001027342,0.000001683656,0.00003745525,0.00002442702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05297564,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433464557719699,"score_gpt":0.2563607728924533,"score_spread":0.2120261273152564,"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."}}