{"id":"W7056014842","doi":"","title":"Demand response as a power system resource","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Demand response; Flexibility (engineering); Smart grid; Electric power system; Population; Resource (disambiguation); Grid; Renewable energy; Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001263958,0.0004424019,0.0004988023,0.0004056747,0.0004094843,0.002800934,0.001071006,0.0008829079,0.005418066],"category_scores_gemma":[0.003926574,0.000345696,0.0004411045,0.000814884,0.0009108746,0.002565872,0.0009606132,0.001339149,0.0006103107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510914,"about_ca_system_score_gemma":0.0008156874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002313444,"about_ca_topic_score_gemma":0.001376515,"domain_scores_codex":[0.9986137,0.0004770568,0.00005685426,0.000259052,0.0004673055,0.0001260309],"domain_scores_gemma":[0.9979458,0.001154965,0.0002351982,0.0002637577,0.0003252822,0.00007494274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008342494,0.00008239122,0.001877489,0.000117801,0.00004696015,0.0001669198,0.0002830364,0.4324026,0.005052248,0.5213619,0.003221163,0.03530398],"study_design_scores_gemma":[0.00001946973,0.0001003166,0.001579435,0.00002666018,0.00001371822,0.0001253982,0.0002481564,0.8056661,0.001443456,0.1742547,0.01647318,0.00004935931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07254767,0.0007376454,0.8110198,0.004237398,0.000211183,0.0001871394,0.0006231581,0.0005606827,0.1098753],"genre_scores_gemma":[0.9599822,0.0004731451,0.02477591,0.0002754554,0.0001149917,0.0001452566,0.0002011369,0.0001475245,0.01388438],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005418066,"threshold_uncertainty_score":0.01812524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008232173085725783,"score_gpt":0.2455520454346318,"score_spread":0.2373198723489061,"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."}}