{"id":"W3085732376","doi":"10.1109/cpem49742.2020.9191898","title":"The NRC Sampling System for Josephson Standards","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Voltmeter; Calibration; Waveform; Electrical engineering; Sampling (signal processing); NIST; Josephson effect; Measurement uncertainty; Computer science; System of measurement; Electronic engineering; Voltage; Volt; Engineering; Physics; Superconductivity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002966743,0.0005340208,0.0005150256,0.002919742,0.001327255,0.00165198,0.00132565,0.000672446,0.01584795],"category_scores_gemma":[0.005950437,0.0003769892,0.0001955965,0.002436909,0.0006030696,0.001271659,0.001093277,0.001208704,0.009648299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003163093,"about_ca_system_score_gemma":0.006287516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193446,"about_ca_topic_score_gemma":0.02306231,"domain_scores_codex":[0.9960362,0.0003897309,0.0001797609,0.0002704317,0.002953267,0.0001706949],"domain_scores_gemma":[0.9964615,0.000318505,0.0001459387,0.0007759112,0.002141116,0.0001570492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004673221,0.00009026594,0.00301305,0.0004007503,0.00002856501,0.0002233068,0.000687019,0.00305939,0.109304,0.1295485,0.1369677,0.61621],"study_design_scores_gemma":[0.0001161052,0.000173915,0.002450443,0.0001332625,0.0000249995,0.0005549417,0.00006769405,0.02434042,0.05930432,0.005703761,0.9070111,0.0001190948],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01846736,0.002723868,0.7549009,0.0008932294,0.001108532,0.001456217,0.004291463,0.05116258,0.1649958],"genre_scores_gemma":[0.186874,0.002047822,0.6823093,0.0008780953,0.0006429446,0.001461858,0.01112375,0.005361117,0.109301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9780656,"threshold_uncertainty_score":0.05301666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841982993617605,"score_gpt":0.2766772739840733,"score_spread":0.2382574440478973,"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."}}