{"id":"W2751099879","doi":"10.2139/ssrn.3027705","title":"Optimal Procurement of Distributed Energy Resources","year":2017,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; Government of Canada","keywords":"Procurement; Order (exchange); Electricity; Environmental economics; Distributed generation; Business; Distribution (mathematics); Industrial organization; Risk analysis (engineering); Microeconomics; Computer science; Operations research; Economics; Finance; Engineering; Renewable energy; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001127695,0.0003809046,0.000546414,0.0002475965,0.0001506699,0.0001388405,0.0009424641,0.0003564047,0.0000121105],"category_scores_gemma":[0.00007068981,0.0003784721,0.0002249652,0.0001083976,0.00004088452,0.0001196298,0.0001765853,0.002634502,0.000003027068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949605,"about_ca_system_score_gemma":0.001488182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007866528,"about_ca_topic_score_gemma":0.0001809351,"domain_scores_codex":[0.9965473,0.00008028754,0.0006887876,0.0002737264,0.0005047677,0.001905161],"domain_scores_gemma":[0.9984466,0.00002261869,0.0006307542,0.0005843812,0.0002176447,0.0000979893],"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":[0.00006582911,0.00008315346,0.0002832237,0.0003241001,0.001767796,0.00001065154,0.0003165262,0.9750565,0.0004805817,0.009476866,0.001539988,0.01059474],"study_design_scores_gemma":[0.00682597,0.002365037,0.0009305941,0.004561898,0.002029762,0.002791315,0.001422571,0.699876,0.0202162,0.1836361,0.0691069,0.006237627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03636533,0.03255466,0.9263069,0.0001477361,0.001339087,0.0003307455,0.00006020679,0.0002647444,0.002630582],"genre_scores_gemma":[0.987094,0.01132662,0.0004917103,0.00000291128,0.0004249288,0.0000292745,0.00008236783,0.00008678594,0.0004613297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9507288,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006458869113208802,"score_gpt":0.210041397819429,"score_spread":0.2035825287062202,"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."}}