{"id":"W2171081361","doi":"10.1109/tpwrs.2004.840449","title":"Composite System Maintenance Coordination in a Deregulated Environment","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Preventive maintenance; Scheduling (production processes); Reliability engineering; Predictive maintenance; Maintenance engineering; Electric power system; Planned maintenance; Computer science; Load management; Operator (biology); Operations research; Engineering; Operations management","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":[0.0003267198,0.0002756343,0.0003668259,0.0002304247,0.00008015684,0.00004989973,0.0001858526,0.0001721352,0.00002569543],"category_scores_gemma":[0.000001281915,0.0002738039,0.0001054343,0.0002471678,0.00004058827,0.0002311326,9.899985e-7,0.000270462,0.0004506204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113483,"about_ca_system_score_gemma":0.00001364712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009288119,"about_ca_topic_score_gemma":0.00005117895,"domain_scores_codex":[0.9982563,0.00009746863,0.0006124986,0.0003313272,0.0002747073,0.0004277325],"domain_scores_gemma":[0.9992863,0.00005393404,0.00006135696,0.0004513814,0.00003411599,0.0001128939],"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":[0.00003318316,0.0001264348,0.00002339944,0.0003134786,0.00005770355,0.00001548546,0.0006347012,0.99265,0.004423595,0.0003655656,0.0007464021,0.0006100393],"study_design_scores_gemma":[0.002319091,0.0001442095,0.0006865305,0.001860786,0.00004151698,0.0002402273,0.001283408,0.9229335,0.01229504,0.000005674745,0.05730386,0.0008861864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06159847,0.0004605094,0.9304217,0.0001592553,0.00245657,0.0008022932,0.00004948743,0.0006302035,0.00342158],"genre_scores_gemma":[0.9984193,0.00002123166,0.0001525072,0.00002020061,0.00001653158,0.0002272287,0.000002516333,0.00004906753,0.001091433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9368208,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005014470319177335,"score_gpt":0.175417682670071,"score_spread":0.1704032123508936,"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."}}