{"id":"W1980817633","doi":"10.3390/en5114288","title":"A Comparison of Wind Flow Models for Wind Resource Assessment in Wind Energy Applications","year":2012,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Mesoscale meteorology; Downscaling; Microscale chemistry; Environmental science; Wind power; Meteorology; Wind speed; Wind resource assessment; Computer science; Wind direction; Geography; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002124098,0.0009218366,0.0006673033,0.0008328981,0.0003996177,0.001092242,0.0009614592,0.0008746581,0.001264697],"category_scores_gemma":[0.003672788,0.0003861464,0.0007867357,0.0009129564,0.0002018242,0.001247467,0.0005876046,0.0007409538,0.0002655977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008317553,"about_ca_system_score_gemma":0.001167643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0265948,"about_ca_topic_score_gemma":0.02090878,"domain_scores_codex":[0.999375,0.0003026191,0.00005254155,0.0000867757,0.0001393239,0.00004381955],"domain_scores_gemma":[0.998319,0.0009542223,0.00009513078,0.0001657154,0.0004008065,0.00006520851],"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":[0.000137322,0.0001195124,0.00610606,0.00007075737,0.00008228383,0.00003513168,0.00004221563,0.9647216,0.001113053,0.001747107,0.000539127,0.02528595],"study_design_scores_gemma":[0.00001758136,0.00004957787,0.001425886,0.00001239237,0.00001129266,0.00000626762,0.00002468065,0.997092,0.0004273011,0.0003906787,0.0005328679,0.000009349135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.772469,0.001708485,0.2025989,0.0008943657,0.0002630854,0.0004239626,0.00234885,0.00216414,0.0171292],"genre_scores_gemma":[0.9385332,0.0007043866,0.05734918,0.0001066788,0.00004035926,0.0002213004,0.001072715,0.0002425993,0.001729421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0265948,"threshold_uncertainty_score":0.05287999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107774998369643,"score_gpt":0.3044858777163668,"score_spread":0.2734081277326704,"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."}}