{"id":"W2971097865","doi":"10.3390/en12173296","title":"Impact of Price–Quantity Uncertainties and Risk Aversion on Energy Retailer’s Pricing and Hedging Behaviors","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Development and Reform Commission of Shenzhen Municipality; Tsinghua-Berkeley Shenzhen institute; Stanford Diabetes Research Center","keywords":"Volatility (finance); Economics; Microeconomics; Profit (economics); Forward contract; Spot contract; Econometrics; Imperfect; Financial economics; Futures contract","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002460385,0.0005426177,0.0006332678,0.0003892269,0.0003320182,0.001922698,0.0008325827,0.00103924,0.002031572],"category_scores_gemma":[0.01018814,0.0005731016,0.0009105284,0.0003812452,0.0009601379,0.002815312,0.0009604105,0.001403115,0.0000966837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184984,"about_ca_system_score_gemma":0.0008143608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003785235,"about_ca_topic_score_gemma":0.002913315,"domain_scores_codex":[0.9990003,0.0003905429,0.00004645414,0.000173427,0.0001992794,0.0001901132],"domain_scores_gemma":[0.9915982,0.00628575,0.001137631,0.0004663788,0.0003198367,0.0001920678],"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":[0.0003227861,0.0001644565,0.01980146,0.00005048495,0.00013068,0.0004892905,0.000181573,0.9254839,0.002891876,0.04235731,0.0002869494,0.007839309],"study_design_scores_gemma":[0.00001497467,0.0001064274,0.006480096,0.000007365346,0.00004710067,0.00009622567,0.0001398953,0.9788318,0.001072874,0.01300604,0.0001558228,0.00004143488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538051,0.0001840633,0.03884569,0.0003232918,0.00001559496,0.00003011436,0.00009969399,0.00004528109,0.006651251],"genre_scores_gemma":[0.9986488,0.0000323244,0.0009801608,0.00001106158,0.00000257873,0.000003166192,0.00001289048,0.000002770153,0.0003062339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003785235,"threshold_uncertainty_score":0.01301193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008173478697436431,"score_gpt":0.2376855068866842,"score_spread":0.2295120281892477,"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."}}