{"id":"W2724892826","doi":"10.24200/tjer.vol15iss2pp102-113","title":"Technical Loss Reduction in Rural Areas - The Case of Saih Al Khairat","year":2018,"lang":"en","type":"article","venue":"The Journal of Engineering Research [TJER]","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Power flow; Operator (biology); Reduction (mathematics); Power loss; Voltage; Rural area; Power (physics); Electric power system; Reliability engineering; Computer science; Engineering; Electrical engineering; Mathematics; Political science","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":[0.003466773,0.0001294587,0.0001964583,0.0002799124,0.00008276004,0.00003289193,0.000443724,0.00008295659,0.0000307525],"category_scores_gemma":[0.0005284144,0.00008263025,0.00007809688,0.0007387148,0.0002628482,0.0002204313,0.00008722336,0.001142505,0.00001264502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964838,"about_ca_system_score_gemma":0.00004943295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007252755,"about_ca_topic_score_gemma":0.00002780069,"domain_scores_codex":[0.998487,0.0001247008,0.0004599281,0.00006761344,0.0004448841,0.0004158634],"domain_scores_gemma":[0.9988816,0.0002926692,0.00005954277,0.0003216407,0.0003503104,0.00009428451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005945461,0.0001872534,0.000276217,0.0001920118,0.000197225,0.000927495,0.001385784,0.4014589,0.554855,0.001345474,0.03178195,0.00679818],"study_design_scores_gemma":[0.004107072,0.004335358,0.02373493,0.002255823,0.0002082574,0.0688342,0.004232017,0.6511791,0.2233574,0.001644743,0.01488851,0.001222629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992938,0.0007121235,0.004856535,0.0006501448,0.0004374776,0.0001738782,0.0000110002,0.00004001151,0.000180785],"genre_scores_gemma":[0.9990712,0.0001511761,0.0003304195,0.000003277709,0.0003993341,0.00000388039,0.000001501574,0.00002704065,0.00001215041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3314976,"threshold_uncertainty_score":0.4963681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206579207568769,"score_gpt":0.3192075252307467,"score_spread":0.297141733155059,"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."}}