{"id":"W2014410569","doi":"10.1109/coase.2013.6653961","title":"Managing demand response for manufacturing enterprises via renewable energy integration","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Demand response; Renewable energy; Newsvendor model; Leverage (statistics); Electricity; Business; Revenue; Environmental economics; Load management; Contingency; Peak demand; Industrial organization; Computer science; Economics; Finance; Supply chain; Engineering","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":[0.001558069,0.0005880262,0.0007420753,0.0004430007,0.0005638513,0.001428527,0.001025422,0.0008524058,0.00166307],"category_scores_gemma":[0.003020651,0.0004678647,0.0003277327,0.0007792832,0.0003717926,0.001832086,0.001283008,0.0008803634,0.0003337592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009235747,"about_ca_system_score_gemma":0.0007268867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536039,"about_ca_topic_score_gemma":0.005372301,"domain_scores_codex":[0.9991498,0.0003263765,0.00004409899,0.0001496098,0.0001805966,0.0001495777],"domain_scores_gemma":[0.9986141,0.0006783966,0.000260944,0.0001638479,0.0001758212,0.0001068711],"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":[0.0002094526,0.0001885358,0.002291953,0.00004992173,0.00004918612,0.0002898926,0.0001253719,0.9182679,0.007983278,0.01007033,0.001488569,0.05898558],"study_design_scores_gemma":[0.00001441423,0.00002988042,0.0002929672,0.000002738612,0.000006412015,0.00002398291,0.00005097472,0.9942284,0.0008810571,0.003927381,0.0005330904,0.000008752833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2720707,0.0004298156,0.712743,0.001064218,0.00008799815,0.0001734621,0.0001278422,0.001013701,0.01228921],"genre_scores_gemma":[0.9782762,0.00006993904,0.02062726,0.00005007669,0.00002045987,0.00002893599,0.00004834866,0.00002311645,0.0008556988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002536039,"threshold_uncertainty_score":0.008239925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006145024480130285,"score_gpt":0.1881328960213115,"score_spread":0.1819878715411812,"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."}}