{"id":"W3124267756","doi":"","title":"Compressed air energy storage with waste heat export: An Alberta case study","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compressed air energy storage; Gas compressor; Compressed air; Environmental science; Revenue; Pumped-storage hydroelectricity; Spillage; Renewable energy; Waste management; Energy storage; Engineering; Business; Mechanical engineering; Electrical engineering; Finance; Distributed generation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006672849,0.000808995,0.0004128573,0.001265851,0.001618971,0.001306879,0.001834162,0.001269705,0.005248189],"category_scores_gemma":[0.00122739,0.0003484998,0.0007508419,0.002520741,0.001333285,0.0007108184,0.0007425655,0.000756748,0.0002567155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01561416,"about_ca_system_score_gemma":0.007560868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8034734,"about_ca_topic_score_gemma":0.8490222,"domain_scores_codex":[0.9995632,0.00008389411,0.00001206582,0.00003552297,0.0001490783,0.0001563629],"domain_scores_gemma":[0.9989297,0.0005211962,0.00007742721,0.00005741722,0.0002739366,0.0001404236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00083037,0.0009227254,0.03716082,0.0002637045,0.0001143811,0.006078427,0.0003311102,0.9082801,0.003144614,0.02154375,0.006416499,0.01491352],"study_design_scores_gemma":[0.0005566225,0.0005997593,0.0456176,0.00008321423,0.000153311,0.00080738,0.004683337,0.9193399,0.004845391,0.006441631,0.01673338,0.0001385211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969394,0.0003823188,0.002936554,0.0006184664,0.00001819159,0.0001919559,0.002101105,0.00006505633,0.02429251],"genre_scores_gemma":[0.9898652,0.0003092304,0.002225501,0.00005159071,0.000007254633,0.00003775854,0.0007670788,0.000013672,0.006722698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1965266,"threshold_uncertainty_score":0.395368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456646431782036,"score_gpt":0.2624741955665483,"score_spread":0.247907731248728,"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."}}