{"id":"W4296961369","doi":"10.1007/978-981-19-2764-5","title":"Smart Technologies for Power and Green Energy","year":2022,"lang":"en","type":"book","venue":"Lecture notes in networks and systems","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Power (physics); Smart power; Green computing; Energy (signal processing); Computer science; Architectural engineering; Electrical engineering; Engineering; Efficient energy use; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001419136,0.001001846,0.000572126,0.0009399869,0.0003479631,0.00136775,0.0004740014,0.0007151987,0.05380427],"category_scores_gemma":[0.0002081117,0.000325425,0.0003684735,0.001425221,0.0004048628,0.00228422,0.0009029731,0.001446019,0.02414544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004323884,"about_ca_system_score_gemma":0.0003513366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004593077,"about_ca_topic_score_gemma":0.001615432,"domain_scores_codex":[0.9998636,0.00001178736,0.000004031306,0.0000176377,0.00009260992,0.00001029784],"domain_scores_gemma":[0.9999331,0.000023013,0.000004010908,0.00001362747,0.00001830478,0.000007858341],"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":[0.00002829489,0.00004331367,0.00004715183,0.0003253799,0.0000132903,0.00005187998,0.00008268951,0.001920116,0.003407475,0.1404664,0.4044579,0.449156],"study_design_scores_gemma":[0.00000380738,0.00002397224,0.0001267451,0.0001041818,0.000005129525,0.0001048319,0.0000249241,0.001489472,0.0007576516,0.04314427,0.9542091,0.000005990254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001435392,0.0632109,0.06204965,0.002998117,0.007983587,0.00006686332,0.0004033203,0.0007844511,0.8610677],"genre_scores_gemma":[0.007471794,0.02669063,0.01071946,0.0007203767,0.0009340932,0.00004525566,0.0002721707,0.0002902956,0.952856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05380427,"threshold_uncertainty_score":0.1799932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004126968830229781,"score_gpt":0.1685181008458625,"score_spread":0.1643911320156327,"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."}}