{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005065398,0.0008983425,0.001142094,0.002182806,0.0003027675,0.00103873,0.0008389042,0.0009213208,0.003188737],"category_scores_gemma":[0.0007848746,0.0003430708,0.0005522675,0.003645039,0.0003311473,0.001505436,0.0005952294,0.000797216,0.001339072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004014238,"about_ca_system_score_gemma":0.001235413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642031,"about_ca_topic_score_gemma":0.001988387,"domain_scores_codex":[0.9998355,0.00002419615,0.00002535658,0.0000371176,0.00006256105,0.00001524522],"domain_scores_gemma":[0.9995329,0.000236974,0.0000679247,0.00001529717,0.0001199968,0.00002686862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004941591,0.00009832017,0.000264805,0.031134,0.0001070936,0.0001661662,0.00007458279,0.00188433,0.00114567,0.006004056,0.01675997,0.9423115],"study_design_scores_gemma":[0.00001439894,0.00021358,0.001107459,0.008761466,0.0003332916,0.001051133,0.0001266305,0.0008174278,0.0009569025,0.003430631,0.9831415,0.00004567874],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002405242,0.9976125,0.0004992156,0.0001640627,0.0001314729,0.000007260099,0.00002040453,0.000009182563,0.001315404],"genre_scores_gemma":[0.001229201,0.9978576,0.0003931331,0.00007048255,0.00009777716,0.000006536683,0.00002650633,0.000001984724,0.0003167675],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003188737,"threshold_uncertainty_score":0.01066738,"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."}}