{"id":"W4402223811","doi":"10.2139/ssrn.4946746","title":"An Admm Approach for the Reconfiguration of Radial Electrical Distribution Systems","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control reconfiguration; Distribution (mathematics); Computer science; Mathematics; Mathematical analysis; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007609664,0.0007427222,0.0009029537,0.0006972051,0.0003311542,0.0008490915,0.0008186622,0.0009271544,0.00344483],"category_scores_gemma":[0.001922571,0.0004090641,0.0006014079,0.000866494,0.0005811582,0.0006883814,0.0009871015,0.001291315,0.0006550421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004492672,"about_ca_system_score_gemma":0.0004517458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320409,"about_ca_topic_score_gemma":0.001603718,"domain_scores_codex":[0.9996679,0.0001413782,0.00001584718,0.00005241409,0.00009130088,0.00003117355],"domain_scores_gemma":[0.9994633,0.0002976476,0.00005436023,0.00005906445,0.00009733421,0.00002831471],"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":[0.00003764127,0.00002548048,0.0001188502,0.00008452349,0.00002840935,0.00009160792,0.0000325021,0.8900887,0.001851492,0.02811415,0.001357914,0.07816876],"study_design_scores_gemma":[0.00000366777,0.00001447461,0.00002398187,0.000005168539,0.000003237858,0.00002262092,0.000005044671,0.9863664,0.0002024054,0.01248978,0.0008603358,0.000002780904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002118742,0.0001854391,0.9950742,0.00008063998,0.00003487962,0.00001066528,0.00002111152,0.00006991946,0.002404475],"genre_scores_gemma":[0.4352126,0.000594967,0.5533782,0.0002038788,0.000209806,0.0001396051,0.0002176883,0.0001886232,0.00985474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00344483,"threshold_uncertainty_score":0.01152408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107615659674536,"score_gpt":0.2292128801923202,"score_spread":0.2181367235955748,"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."}}