{"id":"W4302354305","doi":"","title":"Cost of Power Interruptions to Electricity Consumers in the United States (U.S.)","year":2006,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Electricity Theft Detection Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Power (physics); Electricity generation; Cost of electricity by source; Business; Operations management; Environmental economics; Economics; Electrical engineering; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006864833,0.0002282536,0.0003761085,0.001224995,0.00009953841,0.00002347006,0.0009328655,0.00009182838,0.0001084458],"category_scores_gemma":[0.00001435825,0.0002806154,0.0001815515,0.002709651,0.0003010908,0.00115981,0.0001884798,0.0003127543,0.00002945859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009471578,"about_ca_system_score_gemma":0.00005673721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832334,"about_ca_topic_score_gemma":0.00353144,"domain_scores_codex":[0.9988214,0.00006890704,0.0002488214,0.0002476938,0.0002874149,0.0003257649],"domain_scores_gemma":[0.9990754,0.0001897814,0.000170863,0.0003554659,0.0001113997,0.00009705852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001470826,0.000237324,0.9828066,0.0000623919,0.00008098683,0.00004139314,0.0001932655,0.007999644,0.000003836319,0.0001723348,0.005788868,0.002466235],"study_design_scores_gemma":[0.0004943608,0.000269008,0.9715008,0.00004460633,0.00003928652,0.000005946007,0.0001680452,0.001091545,0.0003615974,0.0001117385,0.02562758,0.0002854553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871545,0.00002828757,0.006811814,0.0001500472,0.00002553398,0.0004490107,0.0007577066,0.0002901113,0.004333016],"genre_scores_gemma":[0.9982572,0.0001058309,0.0006343506,0.00003652263,0.000004991764,6.301865e-8,0.0003801129,0.00002177666,0.0005591406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01983871,"threshold_uncertainty_score":0.9999646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008573886616091635,"score_gpt":0.1742399259085632,"score_spread":0.1656660392924716,"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."}}