{"id":"W3113225525","doi":"10.5194/wes-5-1689-2020","title":"Global trends in the performance of large wind farms based on high-fidelity simulations","year":2020,"lang":"en","type":"article","venue":"Wind energy science","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Fidelity; Meteorology; Computer science; Aerospace engineering; Engineering; Geography; Telecommunications","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":[0.0003160719,0.0001028477,0.0001068944,0.0001241728,0.0001144049,0.00003347765,0.0004782743,0.00003342377,0.00006836424],"category_scores_gemma":[0.00003907946,0.00007481033,0.00002653649,0.002196798,0.0001234605,0.0001798669,0.00004270301,0.00008752845,0.00000471124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008200539,"about_ca_system_score_gemma":0.0001018899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006891514,"about_ca_topic_score_gemma":0.000091445,"domain_scores_codex":[0.998628,0.0000237418,0.0001807118,0.0002017942,0.0005904538,0.0003752756],"domain_scores_gemma":[0.9995704,0.0000368046,0.00001810834,0.0002165633,0.00003730206,0.0001208571],"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":[0.00001106621,0.00002622777,0.009923657,0.000004762689,0.000001963127,0.000002481367,0.0001182328,0.9848149,0.0004577864,0.001695174,0.0001421668,0.002801524],"study_design_scores_gemma":[0.0002875584,0.0000734923,0.3085445,0.00001040628,0.000001107575,3.872483e-7,0.00003009443,0.6861112,0.002056366,0.00002845162,0.002761822,0.00009461609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919233,0.0000164984,0.0006917669,0.0005151479,0.00008105292,0.00002181176,0.00002408994,0.00003711417,0.006689269],"genre_scores_gemma":[0.9991559,0.000003818263,0.0002450984,0.0005183651,0.00004100864,0.000001979305,0.00001189489,0.00000460085,0.00001727212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2987038,"threshold_uncertainty_score":0.3050677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558922548522407,"score_gpt":0.2527922764200439,"score_spread":0.2372030509348199,"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."}}