{"id":"W2090633548","doi":"10.1115/imece2006-16324","title":"Development of New Spatio-Temporal Wind Exergy Maps","year":2006,"lang":"en","type":"article","venue":"Advanced Energy Systems","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Istanbul Teknik Üniversitesi; University of Ontario Institute of Technology","keywords":"Exergy; Wind power; Wind speed; Environmental science; Turbine; Meteorology; Wind direction; Energy (signal processing); Atmospheric sciences; Marine engineering; Engineering; Geology; Geography; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036211,0.0002252749,0.0003075497,0.0001577079,0.00006018881,0.00002579795,0.000188906,0.00009091621,0.00002929736],"category_scores_gemma":[0.000004202805,0.0002201756,0.00004839538,0.0002746791,0.00002132482,0.0001643089,0.00003980835,0.0000698529,0.00002425748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598169,"about_ca_system_score_gemma":0.000162644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247448,"about_ca_topic_score_gemma":0.001049608,"domain_scores_codex":[0.9983542,0.00001766157,0.0005760281,0.0002149884,0.0003914134,0.0004456965],"domain_scores_gemma":[0.99943,0.00002012566,0.00006915261,0.0002512537,0.00006017515,0.0001693073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003036286,0.0000350755,0.0004948753,0.0001309983,0.00008293096,0.00001792971,0.0001808913,0.9483418,0.006013312,0.005876184,0.009723423,0.02907223],"study_design_scores_gemma":[0.0006834834,0.00002108051,0.0009886516,0.0001174575,0.000003349396,0.000008768324,0.000108809,0.003677536,0.03580031,0.0003260276,0.9578903,0.0003742774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6393076,0.01371405,0.209334,0.0001018219,0.00505395,0.0005743321,0.00004059279,0.001790779,0.1300828],"genre_scores_gemma":[0.9748766,0.0000374276,0.01700842,0.00000623082,0.0002307523,0.00003405035,0.0002101233,0.00005193366,0.007544436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9481668,"threshold_uncertainty_score":0.8978502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943532673289306,"score_gpt":0.2059584613185389,"score_spread":0.1965231345856459,"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."}}