{"id":"W2806839079","doi":"10.1109/jeds.2018.2828465","title":"Cryogenic Temperature Characterization of a 28-nm FD-SOI Dedicated Structure for Advanced CMOS and Quantum Technologies Co-Integration","year":2018,"lang":"en","type":"article","venue":"IEEE Journal of the Electron Devices Society","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"CMOS; Silicon on insulator; NMOS logic; Optoelectronics; Materials science; Characterization (materials science); Quantum computer; Silicon; Quantum; Quantum dot; Cryogenics; Nanotechnology; Electronic engineering; Engineering physics; Electrical engineering; Physics; Transistor; Engineering; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008993866,0.000190027,0.0002013299,0.0001218687,0.0002947753,0.0002351078,0.0004187416,0.0003408969,0.0006469243],"category_scores_gemma":[0.0002787962,0.000113662,0.0001142975,0.0001142947,0.0002992278,0.0002312578,0.0001900027,0.0002153228,0.0001557847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270003,"about_ca_system_score_gemma":0.0002127739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286887,"about_ca_topic_score_gemma":0.002111368,"domain_scores_codex":[0.9999336,0.000003664807,0.000002908306,0.00001955421,0.00002883941,0.00001150303],"domain_scores_gemma":[0.9997783,0.00004353676,0.00005334072,0.00003369989,0.00007094994,0.00002016408],"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":[0.00004875358,0.00001517972,0.00125048,0.00002636963,0.000006850182,0.00007983476,0.0001126897,0.0004336091,0.9970567,0.00018493,0.00008428389,0.0007002576],"study_design_scores_gemma":[0.0000153699,0.0004041084,0.0157528,0.00000937197,0.00002707481,0.0002430347,0.0001662261,0.007413213,0.9741392,0.00007841039,0.001739707,0.00001154074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985064,0.0000672794,0.0007354435,0.00002361008,0.000007018213,0.00000518046,0.0001154239,0.00002833072,0.000511397],"genre_scores_gemma":[0.9985624,0.00003716559,0.0009624684,0.000008430364,0.000001943966,0.000007026362,0.00008752128,0.000006307473,0.0003267709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001286887,"threshold_uncertainty_score":0.00309819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005292099545800137,"score_gpt":0.2403007298043924,"score_spread":0.2350086302585922,"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."}}