{"id":"W7026712169","doi":"","title":"BluWave-ai Deploys First Ever Automated Real-time AI Energy Dispatch in a Canadian Electrical Utility, Powered by Microsoft Azure","year":2019,"lang":"en","type":"other","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Automation; Electric energy; Energy consumption; Electricity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006874164,0.0007816278,0.0003282746,0.0008789937,0.001285032,0.001313845,0.0007944127,0.0004066514,0.03268347],"category_scores_gemma":[0.001298531,0.000286413,0.0002234015,0.0006998355,0.000553392,0.001027638,0.0009664094,0.001100394,0.007053372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003491233,"about_ca_system_score_gemma":0.005090619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4802697,"about_ca_topic_score_gemma":0.6648005,"domain_scores_codex":[0.9995785,0.00002811803,0.000006195839,0.00006229097,0.0002094434,0.00011541],"domain_scores_gemma":[0.9994556,0.00005768852,0.00001283787,0.00005350414,0.0002596086,0.0001606419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001124399,0.0004623788,0.007731445,0.0001373721,0.00008010742,0.0005774961,0.0004351568,0.02508689,0.02279956,0.010178,0.7208071,0.2105802],"study_design_scores_gemma":[0.0004003227,0.0004015816,0.0139032,0.0000498519,0.00004453295,0.0001312146,0.001062314,0.400452,0.01533544,0.004331146,0.5637805,0.000107932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1485322,0.0006178055,0.07723093,0.006967827,0.001457267,0.001075909,0.01184859,0.09786778,0.6544018],"genre_scores_gemma":[0.6916433,0.0004811447,0.04590207,0.0007777377,0.0001348126,0.0001296539,0.01408294,0.003364268,0.2434841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4802697,"threshold_uncertainty_score":0.9549485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002420968379302536,"score_gpt":0.1866957380455055,"score_spread":0.184274769666203,"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."}}