{"id":"W6990995871","doi":"","title":"Ensemble of artifical neural networks for seasonal forecasting of wind speed in eastern Canada","year":2024,"lang":"en","type":"dissertation","venue":"Skemman","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind speed; Artificial neural network; Precipitation; Pointwise; Mean squared error; Wind power; Forecast skill; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001025076,0.0002160528,0.0003669343,0.0001034907,0.00001734122,0.00001385897,0.0001205836,0.0001741459,0.00001279856],"category_scores_gemma":[0.00003026708,0.0002308266,0.0001058927,0.0001752843,0.00001088561,0.00003634225,0.0000111985,0.0002907171,3.151167e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006605469,"about_ca_system_score_gemma":0.0001117738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01783903,"about_ca_topic_score_gemma":0.4788893,"domain_scores_codex":[0.9988574,0.000010533,0.0004730729,0.0001849179,0.0001769705,0.000297053],"domain_scores_gemma":[0.9995754,0.0001127298,0.00009227619,0.0001136447,0.00004978489,0.00005611138],"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":[0.00007317791,0.00001219347,0.001212949,0.002319246,0.00009197863,0.00003243016,0.0006262071,0.9767429,0.0008957059,0.0002356243,0.0008380662,0.01691956],"study_design_scores_gemma":[0.0001657638,0.00003061724,0.0005354542,0.0008110491,0.00004027505,0.00000368103,0.000209367,0.9949748,0.00250361,0.00008750545,0.000436523,0.0002013526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924729,0.0007652091,0.00009762221,0.00000517372,0.002612635,0.0001624491,0.00005017023,0.00002869827,0.003805086],"genre_scores_gemma":[0.9977932,0.000003748939,0.00008151418,0.000003547328,0.0002654445,0.000004254241,0.000602517,0.00007181453,0.001173961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4610503,"threshold_uncertainty_score":0.9887013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101254582950182,"score_gpt":0.2277704369635058,"score_spread":0.206757891134004,"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."}}