{"id":"W2889527493","doi":"10.1109/ccece.2018.8447739","title":"Optimizing Load Forecasting Configurations of Computational Neural Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Artificial neural network; Computer science; Evolutionary algorithm; Probabilistic logic; Artificial intelligence; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007540089,0.00008860973,0.000102235,0.00003912883,0.0000772366,0.00002010041,0.00006875756,0.00004127124,0.0001956681],"category_scores_gemma":[0.00001859662,0.00008688681,0.00003746474,0.0001453474,0.00005455257,0.0001102926,0.00001525377,0.00007548583,0.000004436495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001920511,"about_ca_system_score_gemma":0.00001164881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387813,"about_ca_topic_score_gemma":0.00003192344,"domain_scores_codex":[0.9994202,0.000007547182,0.0002181607,0.00008107744,0.0001028299,0.0001702333],"domain_scores_gemma":[0.9996465,0.00009096017,0.00003111925,0.00007106503,0.0001183256,0.00004199036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002001983,0.00000329485,0.00008506062,0.000007499215,0.00001521928,7.915024e-7,0.000231698,0.9910734,0.0002699379,0.001509101,0.0003394524,0.006462585],"study_design_scores_gemma":[0.0001292194,0.00002758605,0.00009548769,0.00002319159,0.000005522693,0.00001129794,0.00003729804,0.9978558,0.001243281,0.0001203467,0.0003574469,0.00009349053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1504432,0.0001355925,0.7114556,0.00002086956,0.0006339983,0.00005818098,0.000004023047,0.0002902367,0.1369582],"genre_scores_gemma":[0.9780384,0.000001568617,0.02156617,0.00003490883,0.0002573572,0.000002426483,0.00001339952,0.00001658183,0.0000691452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8275952,"threshold_uncertainty_score":0.3543141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240880683114733,"score_gpt":0.2228961111938779,"score_spread":0.2004873043627305,"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."}}