{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781259,0.0004664831,0.0004059658,0.0004423034,0.0005757932,0.0006416343,0.0007091725,0.0002494681,0.0005928286],"category_scores_gemma":[0.001218961,0.0001542855,0.0003626557,0.0007458979,0.000153684,0.0002992871,0.000374722,0.0004799432,0.0001083371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002611208,"about_ca_system_score_gemma":0.002981236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7323486,"about_ca_topic_score_gemma":0.7417124,"domain_scores_codex":[0.99985,0.00001653089,0.000009943995,0.00003228569,0.000046204,0.00004493467],"domain_scores_gemma":[0.9996889,0.00004893803,0.00001939882,0.00002365875,0.0001934444,0.0000256825],"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":[0.00009565273,0.00006126745,0.02130594,0.00002055266,0.00009162752,0.00007878233,0.00005552017,0.9100531,0.001045622,0.0003518391,0.00138055,0.06545962],"study_design_scores_gemma":[0.000001824194,0.000007580551,0.00550693,0.000002246755,0.00001082714,0.000003180064,0.00002410459,0.9936195,0.000499994,0.00006996127,0.0002493263,0.000004518342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793319,0.0003276203,0.01542122,0.000181614,0.00006620715,0.00002487952,0.000659615,0.0002203192,0.003766631],"genre_scores_gemma":[0.9925977,0.0001562172,0.004701296,0.00001302537,0.000008349104,0.000008634745,0.000642659,0.00001060543,0.001861365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2676514,"threshold_uncertainty_score":0.5384552,"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."}}