{"id":"W4291779222","doi":"10.1007/s42835-022-01194-0","title":"Correction to: A Decomposition-Based Improved Broad Learning System Model for Short-Term Load Forecasting","year":2022,"lang":"en","type":"article","venue":"Journal of Electrical Engineering and Technology","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Jiangxi Provincial Department of Science and Technology; National Natural Science Foundation of China","keywords":"Term (time); Decomposition; Computer science; Artificial intelligence; Physics; Chemistry","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":[0.002116393,0.001930241,0.001742916,0.001197907,0.001363162,0.002793042,0.002539598,0.004357476,0.09974103],"category_scores_gemma":[0.0303592,0.0008032152,0.001184569,0.002331271,0.000735542,0.002824302,0.002886114,0.005450864,0.03807488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521994,"about_ca_system_score_gemma":0.00361716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009832711,"about_ca_topic_score_gemma":0.01126381,"domain_scores_codex":[0.9983194,0.0002537332,0.0001878626,0.0003514188,0.0006930882,0.0001944066],"domain_scores_gemma":[0.9871204,0.001729265,0.0004532509,0.00250737,0.007642412,0.0005471284],"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":[0.0005659235,0.00005886791,0.00163542,0.0004670924,0.0001558645,0.0007336364,0.0001266251,0.01891819,0.004574935,0.01179837,0.8704041,0.09056097],"study_design_scores_gemma":[0.0003884098,0.0001791861,0.006147277,0.0002673713,0.0001536582,0.001709676,0.0002512883,0.3651184,0.01821972,0.02607023,0.5811867,0.0003082048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.01297323,0.002064156,0.2764184,0.03476858,0.634736,0.0002588674,0.0140618,0.01648413,0.008234807],"genre_scores_gemma":[0.3730332,0.002942624,0.2610112,0.01145058,0.04078478,0.0004043425,0.0258762,0.01152777,0.2729693],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09974103,"threshold_uncertainty_score":0.333667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006572244353584739,"score_gpt":0.2221601168297888,"score_spread":0.215587872476204,"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."}}