{"id":"W2899099723","doi":"10.1109/cpem.2018.8501080","title":"Calibration of AC Shunts at Frequencies Up to 10 kHz Using Digital Sampling","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Shunt (medical); Calibration; Sampling (signal processing); Acoustics; Phase (matter); Magnitude (astronomy); Physics; Electronic engineering; Optics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00004170303,0.00009283666,0.0001074836,0.00007494569,0.00003487459,0.00002249521,0.00008234613,0.0000453329,0.0001243914],"category_scores_gemma":[0.0000886886,0.00008929222,0.00002349081,0.0002146623,0.00002281309,0.0003319985,0.00003303459,0.00003805194,0.00001745672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746091,"about_ca_system_score_gemma":0.000007221556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008448209,"about_ca_topic_score_gemma":0.00001296338,"domain_scores_codex":[0.9993856,0.000003427033,0.0001745091,0.0001077603,0.0001529423,0.0001757925],"domain_scores_gemma":[0.9997011,0.00002282038,0.00001868229,0.0001346045,0.00007175908,0.00005105605],"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":[0.000008599491,0.000004934554,0.000423637,0.00001805376,0.00001109059,1.966344e-7,0.0001238827,0.002762199,0.9899959,0.0002495098,0.0005633285,0.005838654],"study_design_scores_gemma":[0.00005205792,0.00007158916,0.0001108562,0.00002822262,0.000004034274,0.00000131899,0.00001403199,0.02346541,0.9743071,0.0008528546,0.0009547418,0.0001377805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3312983,0.00002141986,0.6646638,0.000008604576,0.00006474372,0.0001061597,0.000003995352,0.0004325405,0.003400468],"genre_scores_gemma":[0.9620529,0.000001799184,0.03757365,0.00002590495,0.00006245738,0.000002883502,0.000002981824,0.00002171198,0.0002557356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6307546,"threshold_uncertainty_score":0.3641231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06054948335041366,"score_gpt":0.290902712186207,"score_spread":0.2303532288357933,"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."}}