{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008976716,0.0009637503,0.0003442942,0.002948149,0.001580157,0.001523822,0.001035642,0.0005160243,0.004327769],"category_scores_gemma":[0.002561692,0.0002362693,0.0004806661,0.004660639,0.0002351484,0.0006938517,0.0003296963,0.0007316658,0.00119825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03181134,"about_ca_system_score_gemma":0.03450677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995021,"about_ca_topic_score_gemma":0.9963197,"domain_scores_codex":[0.9993591,0.00002446168,0.0000153409,0.00005534933,0.0004465015,0.00009927958],"domain_scores_gemma":[0.9976476,0.00006536881,0.00005197669,0.00005735294,0.002051442,0.0001262605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004655774,0.0002412926,0.1624577,0.0002478721,0.0001416864,0.0003045044,0.0004713985,0.2002576,0.003352563,0.008438497,0.4531466,0.1704747],"study_design_scores_gemma":[0.0000718259,0.00008258963,0.5266044,0.0001425125,0.000142507,0.00008559899,0.00166139,0.2897684,0.007578995,0.002001561,0.1717064,0.0001538778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.498327,0.002670223,0.01429594,0.005619898,0.0005904858,0.000390682,0.3175673,0.002694417,0.1578439],"genre_scores_gemma":[0.7447807,0.002872133,0.01197776,0.0002117486,0.00007527618,0.0001015138,0.1622822,0.0002392915,0.07745942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03181134,"threshold_uncertainty_score":0.2308085,"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."}}