{"id":"W3123017477","doi":"10.1109/sta50679.2020.9329351","title":"An efficient PV-Energy storage DC Microgrid utilization scheme","year":2020,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Microgrid; Scheme (mathematics); Energy storage; Computer science; Environmental science; Photovoltaic system; Electrical engineering; Renewable energy; Engineering; Power (physics); Physics","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":[0.000032003,0.0001148073,0.0001033619,0.00003594511,0.00003853102,0.000051476,0.0001022814,0.00005611308,0.0003116983],"category_scores_gemma":[0.000006100125,0.0001121305,0.00003375705,0.0001956323,0.000009448206,0.00008865808,0.00001295086,0.00005342028,0.00004586118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002307448,"about_ca_system_score_gemma":0.000008295789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008192787,"about_ca_topic_score_gemma":0.000005183758,"domain_scores_codex":[0.9994338,0.00001340371,0.0001449219,0.0001594346,0.00008693466,0.0001615475],"domain_scores_gemma":[0.999696,0.000005539446,0.00001514845,0.0001263869,0.00003703068,0.0001199343],"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":[0.000007304035,0.00002005571,0.00003722523,0.00001458576,0.00001261551,0.000002065011,0.0001281777,0.9305909,0.05759098,0.0007112169,0.001448205,0.009436714],"study_design_scores_gemma":[0.0002653643,0.00002813485,0.00006959472,0.00000283364,0.000006591481,9.497825e-7,0.00003189442,0.9540151,0.01588715,0.000003227976,0.02955474,0.0001344378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04253938,0.002034645,0.9510673,0.0002461624,0.0002386106,0.0001103823,0.000009258159,0.001104804,0.002649477],"genre_scores_gemma":[0.992679,0.0002043366,0.00620609,0.0005467702,0.0002000503,0.000007588316,0.00008947474,0.00003329174,0.00003340459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9501396,"threshold_uncertainty_score":0.457255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279653785649065,"score_gpt":0.1964694411160333,"score_spread":0.1836729032595427,"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."}}