{"id":"W3123467622","doi":"","title":"Motivating the Optimal Procurement and Deployment of Electric Storage as a Transmission Asset","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; Government of Canada","keywords":"Procurement; Electric utility; Asset (computer security); Software deployment; Service (business); Business; Transmission (telecommunications); Electricity; Industrial organization; Environmental economics; Mains electricity; Microeconomics; Commerce; Economics; Computer science; Engineering; Computer security; Marketing; Telecommunications","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":[0.001967484,0.0009391458,0.001273088,0.0007262588,0.0009842287,0.003074589,0.001494205,0.005022446,0.009985343],"category_scores_gemma":[0.008368352,0.0009629568,0.000603115,0.0009943073,0.002725156,0.002674622,0.001999796,0.00262308,0.0004231211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002511729,"about_ca_system_score_gemma":0.002849495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008263384,"about_ca_topic_score_gemma":0.00686191,"domain_scores_codex":[0.9987531,0.0007672957,0.0000272972,0.00016892,0.0000784598,0.0002050283],"domain_scores_gemma":[0.996235,0.002930333,0.0002822801,0.00009094311,0.0001665305,0.000294985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003485481,0.0002816273,0.001292826,0.0003395823,0.00006590552,0.000766299,0.0001924718,0.4676517,0.001226976,0.5146831,0.005007896,0.008143177],"study_design_scores_gemma":[0.0002684816,0.0001802345,0.0009907065,0.000136261,0.00005178843,0.0001373555,0.0006554208,0.5775567,0.0005534255,0.4112718,0.008133211,0.00006454746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3655204,0.003997352,0.3541785,0.03127437,0.0003448568,0.0005393573,0.00120316,0.0001674388,0.2427746],"genre_scores_gemma":[0.9569542,0.001682692,0.02801805,0.0003948511,0.0001597951,0.0001872085,0.00007895929,0.00005691033,0.01246718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009985343,"threshold_uncertainty_score":0.03340435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517023038137994,"score_gpt":0.2650676472792144,"score_spread":0.2498974168978345,"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."}}