{"id":"W7009863657","doi":"","title":"Forecasting Electricity Load and Wind Generation: A Comparative Analysis of Machine Learning Models Enhanced by Bayesian Optimization under Different Sampling","year":2024,"lang":"en","type":"other","venue":"Spectrum Research Repository (Concordia University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University","keywords":"Nucleofection; Articular cartilage damage; Gestational period; Intellectualization; Filter (signal processing); Proteogenomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009814162,0.0007908488,0.00110646,0.001690791,0.0003590259,0.001430785,0.0009997003,0.0009753751,0.000683559],"category_scores_gemma":[0.01934099,0.0004418502,0.001116428,0.001533382,0.0003417563,0.0023389,0.0006022215,0.001040513,0.0002411109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150209,"about_ca_system_score_gemma":0.001374152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459636,"about_ca_topic_score_gemma":0.02084002,"domain_scores_codex":[0.997377,0.001583911,0.0001313539,0.0002178274,0.0005644487,0.0001254764],"domain_scores_gemma":[0.9848674,0.01259846,0.0005399487,0.0005636467,0.001303412,0.0001271114],"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":[0.0003831698,0.0001688651,0.01075296,0.0001627804,0.0001765255,0.00004763332,0.00008241484,0.9323894,0.0003277187,0.003453228,0.0009605536,0.05109467],"study_design_scores_gemma":[0.00001192591,0.00007507265,0.00317627,0.00002355916,0.00002819348,0.000009823853,0.00002989557,0.9950929,0.0002505965,0.001003156,0.0002865295,0.00001208954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7969704,0.003658385,0.1820924,0.002451035,0.0001589868,0.0001893098,0.001070754,0.001017208,0.01239153],"genre_scores_gemma":[0.9648986,0.0009887657,0.03203424,0.0001047997,0.00005574805,0.00006859979,0.001069152,0.00006395624,0.0007160423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02459636,"threshold_uncertainty_score":0.05190283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08200955161204135,"score_gpt":0.3007422051433029,"score_spread":0.2187326535312615,"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."}}