{"id":"W2119084939","doi":"10.1109/pesw.2002.984987","title":"A message-passing distributed-memory parallel power flow algorithm","year":2003,"lang":"en","type":"article","venue":"2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309)","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Message passing; Parallel computing; Power (physics); Distributed computing","routes":{"ca_aff":false,"ca_fund":false,"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","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001086203,0.001637283,0.001223809,0.0002887381,0.0003752875,0.0008211524,0.00120594,0.0008037696,0.0008837997],"category_scores_gemma":[0.0002789093,0.001767496,0.0007532655,0.0009957254,0.0002459084,0.001270604,0.0001602512,0.00130439,0.0008578568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007926596,"about_ca_system_score_gemma":0.0001835037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001115781,"about_ca_topic_score_gemma":0.000001155889,"domain_scores_codex":[0.9936633,0.00003339977,0.001339751,0.001386848,0.00109547,0.002481271],"domain_scores_gemma":[0.9973027,0.0001521164,0.0002857643,0.0007075341,0.0008367492,0.0007152137],"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":[0.00009643681,0.0007356903,0.001237342,0.002766576,0.002457766,0.0001266257,0.03194943,0.0924468,0.5065073,0.0007317524,0.3554893,0.005454923],"study_design_scores_gemma":[0.001793474,0.0002050596,0.0002630719,0.001182322,0.0001614479,0.0001139067,0.001515978,0.9360247,0.02858997,0.0000453135,0.02735364,0.002751163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3825323,0.001077337,0.5435746,0.0004001487,0.01218342,0.002512885,0.0003340914,0.009205373,0.04817979],"genre_scores_gemma":[0.7145,0.0004222203,0.2812221,0.0002806522,0.0005711545,0.0003629992,0.00005175967,0.0006151704,0.001973955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8435779,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00702276008910615,"score_gpt":0.1888511463786983,"score_spread":0.1818283862895922,"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."}}