{"id":"W2145913843","doi":"10.1109/pes.2003.1270423","title":"Power price in deregulated markets","year":2004,"lang":"en","type":"article","venue":"2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)","topic":"Electric Power System Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Economics; Evening; Morning; Market price; Mid price; Consistency (knowledge bases); Monetary economics; Econometrics; Price level; Microeconomics; Mathematics","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":[0.0006735534,0.000181909,0.0004050759,0.0009961834,0.0002273503,0.001398367,0.0004635475,0.0003236354,0.002888125],"category_scores_gemma":[0.003751767,0.0001979096,0.0003324363,0.001599216,0.0002761073,0.001538883,0.0004241946,0.0003323317,0.000379479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005998207,"about_ca_system_score_gemma":0.0001204988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002977662,"about_ca_topic_score_gemma":0.003707325,"domain_scores_codex":[0.9995504,0.00007006459,0.00003507406,0.0001097959,0.0001508548,0.00008386328],"domain_scores_gemma":[0.9980807,0.0005255315,0.0006798361,0.0001463644,0.0004419789,0.0001255331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002923608,0.0006350428,0.752153,0.0003809496,0.0007497183,0.003692104,0.002248674,0.08005468,0.02126232,0.01522219,0.009171098,0.1115066],"study_design_scores_gemma":[0.00006081635,0.0002678572,0.9069722,0.00001701023,0.0000550523,0.0006953518,0.0005729717,0.08128388,0.002400576,0.00377902,0.003833774,0.00006154526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962617,0.0001156527,0.0007358305,0.00005889238,0.00001040332,0.000007439353,0.0004033209,0.0000251914,0.002381535],"genre_scores_gemma":[0.9987829,0.00005206691,0.0002475451,0.00001163369,0.00001300595,0.00000417925,0.0005063053,0.00001048952,0.0003720024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002977662,"threshold_uncertainty_score":0.009661674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003486152464193698,"score_gpt":0.1815260609257703,"score_spread":0.1780399084615766,"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."}}