{"id":"W1995257826","doi":"10.1109/pes.2010.5589720","title":"Multi-microgrid control systems (MMCS)","year":2010,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microgrid; Islanding; Smart grid; Distributed computing; Computer science; Anticipation (artificial intelligence); Grid; Reliability (semiconductor); Distributed generation; Power (physics); Control engineering; Control (management); Reliability engineering; Engineering; Electrical engineering; Renewable energy; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007828849,0.0001063022,0.0001266108,0.00004025945,0.00003244619,0.00006701823,0.0000975544,0.00008511602,0.0002311505],"category_scores_gemma":[0.000009249322,0.0000914794,0.00004040793,0.00005129338,0.00001344593,0.00008499034,0.000006135295,0.0001542244,0.0002871961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009112301,"about_ca_system_score_gemma":0.000005470442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000028864,"about_ca_topic_score_gemma":0.00003815481,"domain_scores_codex":[0.9994984,0.000006981733,0.0001511311,0.00009962096,0.00005667304,0.0001872186],"domain_scores_gemma":[0.9996941,0.00001891967,0.00001357445,0.0001684318,0.0000391131,0.00006583646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009181561,0.00004337997,0.001048326,0.00005489671,0.0000980919,0.000006591476,0.00006657949,0.3391496,0.6356801,0.0006891863,0.007327208,0.01582681],"study_design_scores_gemma":[0.0009669982,0.000005746663,0.0003881518,0.000003188553,0.00001156508,0.00001049131,0.00001164322,0.9426225,0.00135045,0.000001669943,0.05449211,0.0001355186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1330035,0.007911705,0.8196062,0.0002715424,0.01281298,0.001588771,0.00008081077,0.004813743,0.0199107],"genre_scores_gemma":[0.9939469,0.00007637253,0.005179815,0.00006420373,0.0002500855,0.00002794884,0.000008035199,0.00002678247,0.0004198936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8609434,"threshold_uncertainty_score":0.3730422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003329152438127051,"score_gpt":0.1707858324273598,"score_spread":0.1674566799892327,"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."}}