{"id":"W2151062168","doi":"10.1109/pes.2007.385951","title":"Reliability Assessment Tools For Utilities in the De-regulated Electricity Market","year":2007,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Electricity market; Variety (cybernetics); Computer science; Electricity; Asset management; Asset (computer security); Mains electricity; Risk analysis (engineering); Engineering; Business; Computer security; Finance","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":[0.006144359,0.0003011234,0.0003213646,0.00005004389,0.0001041964,0.0001074207,0.0003554472,0.0002158885,0.000007688416],"category_scores_gemma":[0.0004108625,0.0002628163,0.0003083577,0.0004035018,0.00003883925,0.0002197387,0.00002102249,0.0004451189,9.770082e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006251,"about_ca_system_score_gemma":0.00004120324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005021386,"about_ca_topic_score_gemma":0.0000206721,"domain_scores_codex":[0.9977924,0.00006771678,0.0005768773,0.0003188912,0.0002708277,0.0009733464],"domain_scores_gemma":[0.998162,0.0012098,0.00005047092,0.0004017979,0.00008986111,0.0000861116],"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":[0.0000438856,0.0001320715,0.001799537,0.001320132,0.0001684536,0.00001054616,0.007116723,0.8538041,0.1183702,0.001096929,0.01373588,0.002401497],"study_design_scores_gemma":[0.0005544715,0.00005660597,0.02445175,0.0001510794,0.00002277984,0.00001575507,0.0008561168,0.9481872,0.01132308,0.0001688796,0.01369136,0.0005208642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6742514,0.0003733962,0.3214054,0.00009327319,0.0009948856,0.0006392085,0.00001314338,0.0003874601,0.001841879],"genre_scores_gemma":[0.9726119,0.00003500392,0.02674978,0.0001344645,0.0002047182,0.0001313331,0.000005663674,0.0000512134,0.00007588775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2983606,"threshold_uncertainty_score":0.9999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008978918216067258,"score_gpt":0.2375283999411915,"score_spread":0.2285494817251242,"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."}}