{"id":"W7011202835","doi":"","title":"A Linear Power Flow Formulation for Three-Phase Distribution Systems","year":2016,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power flow; Control theory (sociology); Flow (mathematics); Distribution (mathematics); Power (physics); Electric power system; Power-flow study","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001513637,0.0003501544,0.0002799013,0.00008811851,0.0001148279,0.0006054377,0.0002622606,0.0002392343,0.0001173824],"category_scores_gemma":[0.0002369015,0.0002764936,0.0002048977,0.0002863911,0.00003176002,0.004788242,0.00006394077,0.0001687571,0.001323727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001717775,"about_ca_system_score_gemma":0.00003659555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.424341e-7,"about_ca_topic_score_gemma":4.620191e-7,"domain_scores_codex":[0.9982274,0.00001889254,0.0005338532,0.000357783,0.0002840198,0.0005781188],"domain_scores_gemma":[0.9990469,0.0001498623,0.00007979962,0.0003712957,0.00008097606,0.0002711738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005375993,0.0031228,0.08826785,0.002744491,0.001572365,0.0001378399,0.0001037031,0.02542066,0.03655509,0.1163171,0.2418138,0.4785684],"study_design_scores_gemma":[0.004657907,0.0005227213,0.001705869,0.000356406,0.00005388385,0.0000195319,0.000009409472,0.2489096,0.008285003,0.005197412,0.7291407,0.001141536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2274792,0.0002213943,0.7020322,0.0002391039,0.0006478555,0.0009935714,0.06553285,0.00160199,0.001251781],"genre_scores_gemma":[0.9901049,0.000005656007,0.0006168396,0.00001987073,0.0002463257,0.0001277369,0.008623425,0.0001176024,0.0001376431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7626257,"threshold_uncertainty_score":0.9999687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117945778329772,"score_gpt":0.2182727615125312,"score_spread":0.206478183679554,"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."}}