{"id":"W2787891636","doi":"10.5194/wes-2016-11","title":"Year-to-year correlation, record length, and overconfidence in wind resource assessment","year":2016,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Quantile; Estimator; Statistics; Wind speed; Meteorology; Environmental science; Climatology; Econometrics; Geography; Mathematics; Geology","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":[0.02165415,0.0002100334,0.0003782378,0.001737426,0.0005970104,0.001648484,0.0008144671,0.000576088,0.001247484],"category_scores_gemma":[0.1034315,0.000300086,0.000498514,0.002433885,0.001017694,0.001739189,0.001298553,0.0009520774,0.0002518782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008648768,"about_ca_system_score_gemma":0.0006826551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01808288,"about_ca_topic_score_gemma":0.02642118,"domain_scores_codex":[0.9894381,0.004335687,0.001731734,0.001690904,0.002278419,0.0005252405],"domain_scores_gemma":[0.7403862,0.1751176,0.05328546,0.01897192,0.01007602,0.002162733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003641352,0.00001211624,0.996439,0.000006461959,0.00007238021,0.00002191883,0.0001481137,0.0005841012,0.00004032563,0.00005312597,0.0000955983,0.002490329],"study_design_scores_gemma":[0.000002887082,0.00003674261,0.9955555,0.00001282297,0.00002417668,0.00007621454,0.0002280016,0.003461777,0.0001428098,0.000201527,0.0002445829,0.0000130643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952129,0.0003712767,0.002353852,0.0001237464,0.00002433906,0.00001506123,0.0003974588,0.00001895718,0.001482446],"genre_scores_gemma":[0.9989147,0.00006194049,0.0004156817,0.00002825198,0.00001762479,0.00000978318,0.0003388058,0.000008342929,0.0002048141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02165415,"threshold_uncertainty_score":0.1145194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008233435639941212,"score_gpt":0.229258114163073,"score_spread":0.2210246785231318,"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."}}