{"id":"W106711868","doi":"10.1109/mpae.2007.376583","title":"Microgrids","year":2007,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2474,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Technical University of Athens; University of Tokyo","keywords":"Microgrid; Distributed generation; Islanding; Distributed power generation; Grid; Context (archaeology); Computer science; Renewable energy; Smart grid; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003669534,0.000911484,0.0005657522,0.0006353593,0.0009852271,0.00249085,0.001257385,0.000830914,0.02970417],"category_scores_gemma":[0.000701968,0.0002573956,0.0004712941,0.001206347,0.0005263672,0.002209284,0.003051417,0.0006747307,0.01293106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006977554,"about_ca_system_score_gemma":0.0009893747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173522,"about_ca_topic_score_gemma":0.001694123,"domain_scores_codex":[0.9995441,0.00009561776,0.00003411919,0.0001019114,0.0001480708,0.00007614295],"domain_scores_gemma":[0.9996874,0.00002857168,0.00003180375,0.00009754684,0.00009372305,0.00006101793],"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":[0.0002126192,0.0001081791,0.001822424,0.001338863,0.0001473295,0.001230828,0.0005286611,0.03472585,0.005972406,0.3388985,0.185007,0.4300073],"study_design_scores_gemma":[0.00002780278,0.00008470839,0.0004480352,0.0001766864,0.00002816308,0.000607549,0.0002698397,0.01055269,0.00143191,0.04757946,0.9387685,0.00002468441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.02218743,0.0192412,0.2485777,0.00466904,0.004328575,0.0007249906,0.002907809,0.00703336,0.6903298],"genre_scores_gemma":[0.555537,0.02895988,0.1057736,0.002715007,0.001407368,0.0007405888,0.00609659,0.0006578771,0.2981121],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02970417,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002945531280309231,"score_gpt":0.176230828096351,"score_spread":0.1732852968160418,"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."}}