{"id":"W7100068919","doi":"","title":"ACCEPTED TO IEEE TRANSACTIONS ON POWER SYSTEMS 1 Application of Public-Domain Market Information to Forecast Ontario’s Wholesale Electricity Prices","year":2008,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Univariate; Autoregressive integrated moving average; Volatility (finance); Electricity market; Electricity price forecasting; Electricity; Multivariate statistics; Time series","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":[0.0005361872,0.0004460344,0.0004966311,0.000422524,0.0004540432,0.001803857,0.0006402166,0.0005825279,0.06589507],"category_scores_gemma":[0.002222196,0.0001496518,0.0003188441,0.001023568,0.0002576475,0.0006491399,0.000413128,0.0004988781,0.01107626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189569,"about_ca_system_score_gemma":0.00135411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05360612,"about_ca_topic_score_gemma":0.07454687,"domain_scores_codex":[0.9996989,0.00004390805,0.00001949162,0.00004569252,0.0001522799,0.00003975078],"domain_scores_gemma":[0.9991336,0.0001465485,0.00004885528,0.0001175122,0.0005176563,0.00003582943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003379774,0.0001260049,0.0107874,0.0003243413,0.0001462873,0.0004065702,0.0002581565,0.1146977,0.003883348,0.02600267,0.3625332,0.4804963],"study_design_scores_gemma":[0.00006514201,0.000142201,0.01461004,0.0001611682,0.0001045592,0.0002234716,0.0003102377,0.4400084,0.002296224,0.01539162,0.5266455,0.00004151187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07197435,0.006652595,0.3317915,0.008906176,0.007864599,0.0003732248,0.008903195,0.003746161,0.5597882],"genre_scores_gemma":[0.6846143,0.003710368,0.01984274,0.0002711963,0.0009971851,0.00008655663,0.005844618,0.0004092693,0.2842237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9463939,"threshold_uncertainty_score":0.220441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236550319254944,"score_gpt":0.1901476210959386,"score_spread":0.1777821179033891,"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."}}