{"id":"W2801050657","doi":"","title":"Validation Study of the Use of Wind Shear Exponents in Extrapolating Wind Speeds for Wind Resource Estimations","year":2005,"lang":"en","type":"article","venue":"15th Conference on Applied Climatology/13th Symposium on Meteorological Observations and Instrumentation","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Forest Protection Limited (Canada)","funders":"","keywords":"Wind shear; Wind resource assessment; Wind speed; Meteorology; Environmental science; Wind power; Wind profile power law; Wind direction; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003956075,0.0002158891,0.0003576986,0.0001012927,0.0003146605,0.00003747831,0.0001936446,0.000130587,0.00008511667],"category_scores_gemma":[0.0001166315,0.0001604743,0.00005465997,0.0003692604,0.0002814662,0.0002772827,0.0001179102,0.0001804818,0.000004714177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008689556,"about_ca_system_score_gemma":0.00001742416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005787167,"about_ca_topic_score_gemma":0.00005883458,"domain_scores_codex":[0.9980456,0.0001559808,0.0007365832,0.000426311,0.0003809074,0.0002546539],"domain_scores_gemma":[0.9988411,0.0003810266,0.0004254383,0.0002606457,0.00004216408,0.00004960922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005442635,0.00240502,0.7601122,0.00004720632,0.0000696381,5.265658e-7,0.005192722,0.0924818,0.1016027,0.02736859,0.0001551213,0.01002024],"study_design_scores_gemma":[0.003012735,0.001200513,0.9660103,0.00006700425,0.00008917893,0.000001773927,0.002782575,0.01928288,0.005726192,0.001115105,0.0004422435,0.0002694962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955636,0.000002141044,0.0001648,0.001721271,0.00004791314,0.001347332,0.00004115568,0.00001722842,0.001094555],"genre_scores_gemma":[0.9957443,0.00001292809,0.003706462,0.0003808522,0.00001473011,0.00006203364,0.00004225305,0.00001058199,0.00002588179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2058981,"threshold_uncertainty_score":0.6543953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10271792110907,"score_gpt":0.2863791078598349,"score_spread":0.1836611867507649,"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."}}