{"id":"W3046956121","doi":"10.1177/0309524x20944390","title":"Wind resource prospecting: Predicting winds aloft using surface winds and the position of the sun","year":2020,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Manitoba","funders":"","keywords":"Wind speed; Daytime; Environmental science; Meteorology; Wind gradient; Terrain; Planetary boundary layer; Wind power; Wind direction; Maximum sustained wind; Turbine; Tower; Sky; Position (finance); Wind profile power law; Atmospheric sciences; Geology; Engineering; Geography; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003844126,0.0004910422,0.0003719491,0.0003536167,0.0001735494,0.0005575717,0.0002924128,0.0004764782,0.0006491634],"category_scores_gemma":[0.0009377214,0.0002728956,0.00034245,0.0004131601,0.0001760035,0.0008686313,0.0002399265,0.0003333077,0.0001870153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001599246,"about_ca_system_score_gemma":0.0005097465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009835195,"about_ca_topic_score_gemma":0.01181925,"domain_scores_codex":[0.9999074,0.00002927286,0.000005793631,0.00002494707,0.00002212305,0.00001037453],"domain_scores_gemma":[0.9997357,0.0001365895,0.00002883824,0.00002249056,0.00004795603,0.00002854157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002148962,0.0002116496,0.08169134,0.00006540731,0.0000558461,0.00008104509,0.00003956495,0.86064,0.006479966,0.0003297466,0.0003519623,0.04983858],"study_design_scores_gemma":[0.00002039541,0.0000675052,0.01156349,0.000003378339,0.00000563177,0.000009625772,0.00002007504,0.9869848,0.0009887081,0.0002242778,0.0001044693,0.000007617954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518234,0.0000613954,0.04496863,0.0000652579,0.00001484627,0.00005642196,0.0005544501,0.0004053785,0.002050197],"genre_scores_gemma":[0.9824759,0.00003797207,0.01680307,0.000005787683,0.000004214393,0.00001754986,0.000309959,0.00001545969,0.0003301741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009835195,"threshold_uncertainty_score":0.01955587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009769818022618872,"score_gpt":0.1872678037334749,"score_spread":0.1774979857108561,"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."}}