{"id":"W2093837586","doi":"10.1016/j.eneco.2012.04.009","title":"Transportation and storage under a dynamic price cap regulation process","year":2012,"lang":"en","type":"article","venue":"Energy Economics","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Stylized fact; Economics; Microeconomics; Process (computing); Dynamic pricing; Sequential game; Price setting; Mechanism (biology); Welfare; Game theory; Computer science; Macroeconomics; Market economy","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":[0.00005996842,0.0001027973,0.00008721143,0.00006455506,0.00002983737,0.0000171835,0.00004505783,0.00005112631,0.00002994946],"category_scores_gemma":[0.000001026827,0.0001236986,0.00001680151,0.00004869742,0.00001200811,0.0003403146,0.000003994076,0.00003450211,0.000003330561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171461,"about_ca_system_score_gemma":0.000004434587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001910346,"about_ca_topic_score_gemma":0.0002448135,"domain_scores_codex":[0.9995522,0.000005267427,0.000138192,0.0001036291,0.00002789707,0.0001728419],"domain_scores_gemma":[0.9997805,0.0000105369,0.00002824205,0.0001128678,0.00000751921,0.00006030448],"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":[0.000002851876,0.000009175305,0.001424183,0.00002619624,0.00003268746,1.592603e-7,0.0002423884,0.98493,0.00008921062,0.01213742,0.00008574307,0.001019958],"study_design_scores_gemma":[0.0002846123,0.000008774565,0.114718,0.000007865928,0.00002562429,0.000002152192,0.0001720482,0.8643191,0.0007255765,0.001289889,0.01815201,0.0002943258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517474,0.0002625108,0.04456542,0.00003318558,0.0004606722,0.0000361791,0.000003420817,0.000141365,0.002749805],"genre_scores_gemma":[0.9989735,0.0001494463,0.000348101,0.00004371803,0.0001082866,0.00002356484,0.00005173342,0.00003398597,0.0002676305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206109,"threshold_uncertainty_score":0.5044281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004636631692598834,"score_gpt":0.1747152805954703,"score_spread":0.1700786489028715,"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."}}