{"id":"W4206064875","doi":"10.4095/329423","title":"Forecasting of GIC indices for Canadian power utilities","year":2022,"lang":"en","type":"report","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Power (physics); Statistics; Econometrics; Environmental science; Economics; Mathematics; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004414844,0.0002833931,0.0004529949,0.0004603576,0.0001391382,0.00002598807,0.000240912,0.0002277234,0.003053599],"category_scores_gemma":[0.0001486084,0.0002918138,0.0002079735,0.0001696293,0.00002910567,0.00006645075,0.00004294697,0.0003138891,0.000001294362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003928466,"about_ca_system_score_gemma":0.0008980319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06764325,"about_ca_topic_score_gemma":0.1405467,"domain_scores_codex":[0.9984278,0.000009735474,0.0004925341,0.0002099214,0.0003618973,0.0004980771],"domain_scores_gemma":[0.9991962,0.0001778531,0.0001225557,0.000223846,0.0001313319,0.0001481717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004577613,0.00007890615,0.01103672,0.02115656,0.003620106,0.0002603657,0.009690596,0.2161295,0.00007685571,0.006761852,0.6261376,0.1050051],"study_design_scores_gemma":[0.00009912554,0.00006153518,0.00004537667,0.0001889052,0.00004853288,0.00004511312,0.0004888626,0.009117981,0.0001853748,0.0001081195,0.9892251,0.0003858976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01575682,0.003058665,0.00009409594,0.000008243379,0.003684641,0.0002652066,0.0008768762,0.0001752942,0.9760802],"genre_scores_gemma":[0.9760973,0.0002495912,0.001110862,0.00002539688,0.0003695337,0.000141965,0.0006081981,0.0001776007,0.02121951],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9603405,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05080548628465557,"score_gpt":0.2428836287792762,"score_spread":0.1920781424946207,"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."}}