{"id":"W2100990002","doi":"10.1109/tpwrs.2008.2002296","title":"Security Coordinated Maintenance Scheduling in Deregulation Based on Genco Contribution to Unserved Energy","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scheduling (production processes); Deregulation; Reliability engineering; Schedule; Engineering; Computer science; Operations research; Operations management; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000380504,0.000303856,0.0004130799,0.0003658942,0.0001542983,0.00003385262,0.0001778016,0.0002328116,0.0000203652],"category_scores_gemma":[0.00002235338,0.0003122555,0.0001272876,0.0007186136,0.00003883179,0.0001762206,8.751197e-7,0.000283474,0.00006988855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006789968,"about_ca_system_score_gemma":0.00005483073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003985879,"about_ca_topic_score_gemma":0.0003384869,"domain_scores_codex":[0.9980184,0.0001624068,0.0005993012,0.0004112737,0.0003080098,0.0005005603],"domain_scores_gemma":[0.9989751,0.0001253828,0.00006147729,0.0004820042,0.0001808258,0.000175239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000132727,0.0001329898,0.00008861655,0.00007113639,0.00002317204,0.00002599807,0.0002192394,0.9968304,0.001649035,0.0004734202,0.0003079767,0.00004529892],"study_design_scores_gemma":[0.001569802,0.0002392429,0.0009798046,0.0008274399,0.00001223058,0.00003941093,0.00009981923,0.9738298,0.01626696,0.00003180098,0.005585453,0.0005182126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1565415,0.00009608702,0.8389601,0.0001169685,0.002712196,0.0005327333,0.00005891327,0.0003946513,0.0005868859],"genre_scores_gemma":[0.9993005,0.00001732743,0.00007651673,0.0001300877,0.00001616334,0.0002498112,0.000009484854,0.00004495355,0.000155204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.842759,"threshold_uncertainty_score":0.9999329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008196667815333517,"score_gpt":0.1950909512758733,"score_spread":0.1868942834605398,"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."}}