{"id":"W2486732740","doi":"10.1007/978-3-319-33681-7_23","title":"Economic Analysis of Chemical Energy Storage Technologies","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Energy storage; Environmental economics; Capital cost; Smart grid; Reliability engineering; Electric power system; Pumped-storage hydroelectricity; Computer science; Procurement; Renewable energy; Distributed generation; Electrical engineering; Business; Engineering; Power (physics); Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957558,0.0002355757,0.0005800633,0.0004576175,0.0002178818,0.00004574144,0.001323347,0.0002648785,0.000002946526],"category_scores_gemma":[0.00003827414,0.000170185,0.0003304972,0.0002220765,0.0005778457,0.0001347657,0.0005180952,0.0001546782,3.045209e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001193586,"about_ca_system_score_gemma":0.0001200796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002989837,"about_ca_topic_score_gemma":0.0004978307,"domain_scores_codex":[0.9988396,0.00000732627,0.00069382,0.0001293559,0.0001532081,0.0001767175],"domain_scores_gemma":[0.9983853,0.0002786626,0.0006083949,0.0006186605,0.00008499193,0.00002403303],"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":[9.612295e-7,0.000003496836,0.000001712044,0.00004994294,0.0004669144,2.489206e-8,0.0001372199,0.8147679,0.00006518333,0.1725376,0.00001648723,0.01195256],"study_design_scores_gemma":[0.0002256126,0.00003823914,0.000007142195,0.0002599827,0.0004911146,0.000005020693,0.00000715532,0.910481,0.003301369,0.002203329,0.08253835,0.0004416954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001460112,0.0008696989,0.983814,0.0004315353,0.0006493864,0.000225891,0.0002509605,0.0001460065,0.01215241],"genre_scores_gemma":[0.4880898,0.0003782031,0.5106299,0.00005631648,0.0002422636,0.00004627104,0.0001293894,0.00004869652,0.0003791369],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4866297,"threshold_uncertainty_score":0.6939943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378210399681322,"score_gpt":0.2167610818425915,"score_spread":0.2029789778457783,"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."}}