{"id":"W2085930154","doi":"10.1049/ip-gtd:20030694","title":"Estimating customer outage costs due to a specific failure event","year":2003,"lang":"en","type":"article","venue":"IEE Proceedings - Generation Transmission and Distribution","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Event (particle physics); Business; Reliability engineering; Computer science; Actuarial science; Operations management; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008798891,0.000442008,0.0004225202,0.002429404,0.0002057332,0.0007330788,0.0005492506,0.0004635825,0.001202244],"category_scores_gemma":[0.006589551,0.0002735578,0.0004601846,0.002171883,0.0001348011,0.0007964957,0.000416107,0.0004065246,0.0002417451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139075,"about_ca_system_score_gemma":0.0005008667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01443085,"about_ca_topic_score_gemma":0.01436065,"domain_scores_codex":[0.9988905,0.0002077069,0.00009080707,0.0001009073,0.0005679406,0.0001420609],"domain_scores_gemma":[0.9949967,0.002609085,0.0008572724,0.0002804393,0.001131813,0.0001248331],"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":[0.0005978497,0.0001449468,0.2499963,0.0001177969,0.0003060916,0.0006651384,0.0001465986,0.624401,0.003884214,0.001911654,0.001742145,0.1160862],"study_design_scores_gemma":[0.0000162779,0.0003899379,0.3253905,0.00002346899,0.0001830628,0.0006508637,0.0002462647,0.6646128,0.00562896,0.001013949,0.001774872,0.00006904436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666239,0.0002177001,0.02891042,0.00004831568,0.00001123008,0.00006311711,0.001633891,0.000102433,0.002389075],"genre_scores_gemma":[0.9903351,0.0001332685,0.007563573,0.000008202506,0.000008803017,0.00003740535,0.001282038,0.00001338949,0.0006180159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01443085,"threshold_uncertainty_score":0.02869374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009120074414348669,"score_gpt":0.2150300097139223,"score_spread":0.2059099352995736,"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."}}