{"id":"W2096612321","doi":"10.1109/pes.2006.1709503","title":"On-site calibrations of multifunction electrical standards used for testing revenue meters","year":2006,"lang":"en","type":"article","venue":"2006 IEEE Power Engineering Society General Meeting","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Manitoba Hydro","keywords":"Revenue; Calibration; Electricity; Metrology; Service (business); Legislation; Test site; Environmental science; Engineering; Electrical engineering; Business; Accounting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004175848,0.0002759423,0.0002965325,0.00009744261,0.00009766852,0.00002909848,0.0001111391,0.0001509509,0.000002167775],"category_scores_gemma":[0.0003427364,0.0003085053,0.000219966,0.000571226,0.00001823974,0.000133446,0.000009152084,0.000263449,8.753065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190195,"about_ca_system_score_gemma":0.00002890096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003614298,"about_ca_topic_score_gemma":0.000004670825,"domain_scores_codex":[0.9983662,0.00001927746,0.0004591043,0.0002614554,0.0003995397,0.0004943747],"domain_scores_gemma":[0.999106,0.0003722148,0.0000842554,0.0001885792,0.0001874328,0.00006149586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003439103,0.00001564421,0.00009420769,0.0000469574,0.00002506341,2.875038e-7,0.00003258759,0.4823353,0.5110676,0.0001456513,0.005962811,0.0002704393],"study_design_scores_gemma":[0.0003655891,0.0001180776,0.0001339818,0.0001044876,0.00002992568,0.000001567926,0.000003043337,0.5578772,0.4395848,0.000165225,0.001300199,0.0003159594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2076305,0.0002707266,0.7901365,0.00001781757,0.0003457105,0.0003990487,0.0001406576,0.0009060084,0.0001530579],"genre_scores_gemma":[0.7649447,0.000006289808,0.2344996,0.00002508471,0.0002429148,0.000108024,0.00002160979,0.0001018363,0.00005000282],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5573142,"threshold_uncertainty_score":0.9999367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022502711258236,"score_gpt":0.2315417102735061,"score_spread":0.2213166831609238,"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."}}