{"id":"W3126865356","doi":"10.1109/epec48502.2020.9320028","title":"Cost Optimized Load Allocation for Dual Radial Customers","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Switchgear; Computer science; Transformer; Capital cost; Dual (grammatical number); Reliability engineering; Electrical engineering; Engineering; Voltage","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":[0.0000978814,0.0002784196,0.0003139311,0.00005776672,0.00009049406,0.00009773586,0.000148913,0.0001624438,0.00009022485],"category_scores_gemma":[0.0000726861,0.000303536,0.00008767011,0.0003960758,0.00003130741,0.0002174773,0.00001742553,0.0001832691,0.00002566113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368757,"about_ca_system_score_gemma":0.0001674791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003160099,"about_ca_topic_score_gemma":0.00001040264,"domain_scores_codex":[0.9986143,0.00002671024,0.0002844461,0.0003698221,0.000221634,0.0004830687],"domain_scores_gemma":[0.9993085,0.00006568901,0.00004647045,0.0001407566,0.0001489531,0.0002896518],"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":[0.002495908,0.0002685827,0.00007989969,0.0003423772,0.001069556,0.0000873506,0.002800613,0.2068104,0.3419135,0.03174283,0.2446293,0.1677597],"study_design_scores_gemma":[0.002899855,0.0005021272,0.0001210754,0.00001812754,0.000105185,0.00001836,0.00007518401,0.8639886,0.02849069,0.0001142658,0.1028901,0.0007764134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05657287,0.001744479,0.9199579,0.002023944,0.002081609,0.0006580685,0.0002133479,0.001121621,0.01562617],"genre_scores_gemma":[0.9978074,0.0005345751,0.0006037377,0.0003554157,0.0002574709,0.0001045212,0.0001446392,0.00004013595,0.000152035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9412346,"threshold_uncertainty_score":0.9999416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609875064933176,"score_gpt":0.22035055931887,"score_spread":0.2042518086695383,"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."}}