{"id":"W1999178126","doi":"10.1109/pes.2010.5590156","title":"Lossless compression of synchronized phasor measurements","year":2010,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Illinois at Urbana-Champaign","keywords":"Phasor; Lossless compression; Computer science; Data compression; Electric power system; Lossy compression; Compression (physics); Voltage; Power (physics); Units of measurement; Data transmission; Transmission (telecommunications); Real-time computing; Electronic engineering; Electrical engineering; Engineering; Telecommunications; Computer hardware; Algorithm; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001318362,0.00005860507,0.0001130854,0.00002406664,0.00001520713,0.000007302727,0.0000825299,0.00004324313,0.0009888576],"category_scores_gemma":[0.00001796102,0.00004837028,0.00002667048,0.00005806702,0.00001712642,0.0000527925,0.00001023833,0.00006185292,0.00001685695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001043769,"about_ca_system_score_gemma":0.000007369604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006641515,"about_ca_topic_score_gemma":0.0000265647,"domain_scores_codex":[0.9995508,0.00001257478,0.0001648602,0.00006434545,0.0001276744,0.00007971463],"domain_scores_gemma":[0.9996893,0.00001312822,0.00001701437,0.0001831082,0.00005565778,0.00004179249],"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":[0.00002817752,0.0002002345,0.02269181,0.0004050361,0.00008028333,7.460824e-7,0.0004014539,0.02082019,0.9466389,0.0007466667,0.003992441,0.00399406],"study_design_scores_gemma":[0.002812401,0.00002807281,0.01054613,0.00006699264,0.00002025552,0.000004295219,0.00006797768,0.4348323,0.5419737,0.00005868638,0.009203668,0.0003855856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5641935,0.00007500604,0.2914809,0.00002263599,0.001695884,0.0002813778,0.000009423657,0.0004105828,0.1418306],"genre_scores_gemma":[0.9971144,0.000001438542,0.002750689,0.000004983144,0.000007945505,0.000004049764,0.000002661114,0.000007839306,0.0001060299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4329208,"threshold_uncertainty_score":0.9999244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524910393215841,"score_gpt":0.2271174037025039,"score_spread":0.2118682997703455,"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."}}