{"id":"W3190043294","doi":"10.82308/11265","title":"Sparsity and structure exploiting diagonally dominant relaxation of the OPF problem","year":2020,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Relaxation (psychology); Diagonally dominant matrix; Mathematics; Computer science; Mathematical optimization; Algorithm; Psychology; Pure mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295464,0.001118328,0.0009291782,0.0005257837,0.000342933,0.001194075,0.0007063329,0.0008866489,0.003669336],"category_scores_gemma":[0.004012699,0.0004577161,0.000861306,0.0007249857,0.001196776,0.001419567,0.00128081,0.002539985,0.0009275356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004614319,"about_ca_system_score_gemma":0.001189186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706003,"about_ca_topic_score_gemma":0.003062499,"domain_scores_codex":[0.9992443,0.000291452,0.00002944333,0.0001127204,0.0002207165,0.0001014122],"domain_scores_gemma":[0.9980859,0.001205245,0.0001717617,0.0001828874,0.0002701547,0.00008397568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001751684,0.0001534714,0.001013843,0.0005118671,0.00008911227,0.0005488551,0.0003015856,0.7409308,0.01442438,0.1506349,0.01403419,0.07718182],"study_design_scores_gemma":[0.00001537921,0.00006177329,0.0001861946,0.00003024939,0.000008637206,0.00008659776,0.00005636851,0.9637105,0.001215849,0.03199925,0.002616706,0.00001238894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0155542,0.0003479584,0.9745404,0.0004471583,0.00006827957,0.00004653665,0.0001725508,0.0001234572,0.008699507],"genre_scores_gemma":[0.4617816,0.002487151,0.5198351,0.0007249482,0.0003380304,0.0003894779,0.001282732,0.0004076278,0.01275323],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003669336,"threshold_uncertainty_score":0.01227522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118888776171111,"score_gpt":0.1819789588567904,"score_spread":0.1707900710950793,"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."}}