{"id":"W2118894361","doi":"10.1109/tpwrd.2010.2078839","title":"Weather Normalization of Reliability Indices","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Energy","funders":"","keywords":"Normalization (sociology); Reliability (semiconductor); Meteorology; Weather forecasting; Lightning (connector); Wind speed; Environmental science; Reliability engineering; Computer science; Engineering; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0002162945,0.0001405792,0.0001732403,0.000116355,0.00005290119,0.00001201037,0.0001509315,0.0001583843,0.000366529],"category_scores_gemma":[0.000007897353,0.0001344403,0.0001120977,0.000200428,0.00008482442,0.0002331771,7.151061e-7,0.0003175586,0.00007914395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003824169,"about_ca_system_score_gemma":0.00002434511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005650603,"about_ca_topic_score_gemma":0.0000934892,"domain_scores_codex":[0.9991463,0.00002531379,0.0002982309,0.0001744555,0.0001738191,0.0001818992],"domain_scores_gemma":[0.9993047,0.00007034645,0.00003961114,0.0004080616,0.0001090801,0.00006824564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000375368,0.001657811,0.001578788,0.001254813,0.0004381327,0.00001617798,0.007119521,0.4452582,0.5146178,0.001084253,0.004337466,0.02226167],"study_design_scores_gemma":[0.00138926,0.0003860664,0.004401187,0.0002403355,0.0001236273,0.00003628864,0.0003485589,0.03236863,0.9219059,0.0004925131,0.03730999,0.0009975907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6560154,0.00003256251,0.3364609,0.00002774679,0.002543702,0.0001721087,0.0000653069,0.0002242251,0.004458022],"genre_scores_gemma":[0.9992708,0.00004722803,0.0004052523,0.00003060597,0.00001555921,0.00002204981,0.000001334544,0.00002338377,0.0001837824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4128896,"threshold_uncertainty_score":0.5482315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004164862807553832,"score_gpt":0.1850112332586079,"score_spread":0.1808463704510541,"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."}}