{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001804277,0.0001559891,0.0001801442,0.0003397087,0.00009514527,0.00004133289,0.0001545459,0.00008801115,0.0001631697],"category_scores_gemma":[0.000006226199,0.0001518687,0.00005306442,0.0006092319,0.000009179709,0.0005074361,0.000003278482,0.0001286835,0.00006091619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387328,"about_ca_system_score_gemma":0.00003773747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800718,"about_ca_topic_score_gemma":0.003886048,"domain_scores_codex":[0.9989813,0.00001560105,0.0003795563,0.0001229217,0.0002318068,0.000268825],"domain_scores_gemma":[0.9994415,0.00004422176,0.00005466028,0.0002107178,0.00009566508,0.0001532405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001559152,0.000221789,0.001824068,0.0002248798,0.0001919583,0.000002159674,0.01283575,0.8912624,0.01018982,0.001505599,0.0162569,0.06532883],"study_design_scores_gemma":[0.002118196,0.001302595,0.03263744,0.0002794346,0.00005563858,0.000138521,0.001507641,0.3290368,0.09568847,0.00005081762,0.535019,0.00216543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2764741,0.000005259359,0.6640607,0.00002686706,0.0001890577,0.000314627,0.00001377886,0.0001745262,0.05874117],"genre_scores_gemma":[0.9966403,0.000003482824,0.002682268,0.00007664911,0.0000142476,0.0001215289,0.00001462045,0.00001762758,0.000429279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7201662,"threshold_uncertainty_score":0.6193025,"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."}}