{"id":"W2925133149","doi":"10.5547/01956574.40.4.asid","title":"Merchant Storage Investment in a Restructured Electricity Industry","year":2019,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; HEC Montréal; Universitetet i Oslo; Aalto-Yliopisto; University of Guelph","keywords":"Profit (economics); Restructuring; Microeconomics; Electricity; Electricity market; Energy storage; Economics; Business; Social Welfare; Investment (military); Industrial organization; Environmental economics; Finance; Power (physics); Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008326918,0.000464489,0.0004582707,0.0003836899,0.0005810214,0.00283513,0.00103979,0.001780284,0.005281183],"category_scores_gemma":[0.001541149,0.0004731105,0.0006490187,0.000415349,0.002015495,0.002653796,0.001518662,0.001227126,0.0003596197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003218012,"about_ca_system_score_gemma":0.001441983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008072164,"about_ca_topic_score_gemma":0.009711552,"domain_scores_codex":[0.9994872,0.0001849986,0.00001653003,0.00009512627,0.00007993753,0.0001362231],"domain_scores_gemma":[0.9991709,0.0003211593,0.0001999065,0.00007738655,0.00008438225,0.0001463891],"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":[0.0002714671,0.0001317813,0.002792893,0.0000562342,0.00003680504,0.0006078439,0.0001116729,0.8137316,0.003415984,0.1734746,0.0006259212,0.00474325],"study_design_scores_gemma":[0.000066601,0.0002462627,0.001940088,0.00002567629,0.00004831143,0.0001195007,0.0002066037,0.9378367,0.001246123,0.05671673,0.001506362,0.00004110011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564846,0.0003426175,0.07837444,0.001990981,0.0000391271,0.0000939117,0.0003622793,0.0001577974,0.06215423],"genre_scores_gemma":[0.9933988,0.00007178858,0.00146005,0.00002951065,0.000004981048,0.00001352417,0.00002278,0.000004924472,0.004993605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008072164,"threshold_uncertainty_score":0.02334839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004821282474285495,"score_gpt":0.1824414710785164,"score_spread":0.1776201886042309,"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."}}