{"id":"W4226356661","doi":"10.1109/access.2022.3171234","title":"Service Restoration Through Microgrid Formation in Distribution Networks: A Review","year":2022,"lang":"en","type":"review","venue":"IEEE Access","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Computer science; Distributed computing; Heuristic; Grid; Distributed generation; Electric power distribution; Integer programming; Graph theory; Partition (number theory); Service (business); Reliability engineering; Power (physics); Artificial intelligence; Engineering; Algorithm; Renewable energy; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002688143,0.0003489626,0.0009173448,0.00009021311,0.00008064939,0.00013694,0.0004900525,0.0001958556,0.0001249069],"category_scores_gemma":[0.00001970438,0.0003449133,0.0001767743,0.001415535,0.000006630302,0.001167015,0.00006445264,0.0004740489,0.00002979261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005622588,"about_ca_system_score_gemma":0.00004084948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005940511,"about_ca_topic_score_gemma":0.0001577232,"domain_scores_codex":[0.9982704,0.0001704507,0.0008492561,0.0002547042,0.0001765887,0.000278581],"domain_scores_gemma":[0.9992325,0.00006573658,0.0002717637,0.0003466572,0.0000502123,0.00003317457],"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":[0.000001974139,0.00001446122,2.208592e-7,0.04380333,0.00002744909,0.000006082379,0.00002021293,0.04940086,1.738233e-7,0.000006262827,0.0159198,0.8907992],"study_design_scores_gemma":[0.0001276891,0.000006259508,4.524082e-7,0.01431712,0.0002439128,0.00002474421,0.00000223749,0.02595735,8.96452e-7,0.000009628803,0.958993,0.0003167664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.732728e-7,0.9734303,0.02381548,0.00003373323,0.000948364,0.001351078,0.0001123148,0.0002036341,0.0001044169],"genre_scores_gemma":[0.000004307992,0.9913885,0.00005508997,0.0002281355,0.0002742263,0.0008033664,0.007185844,0.00005713706,0.000003400155],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9430732,"threshold_uncertainty_score":0.9999003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05514229831144331,"score_gpt":0.3160966816142924,"score_spread":0.2609543833028491,"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."}}