{"id":"W2059492451","doi":"10.5539/enrr.v2n1p96","title":"Comparison of Four Distributions for Frequency Analysis of Wind Speed","year":2012,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile; Wind speed; Cumulative distribution function; Probability distribution; Inversion (geology); Wind power; Applied mathematics; Computation; Nonlinear system; Frequency distribution; Mathematics; Statistics; Mean squared error; Meteorology; Probability density function; Algorithm; Geology; Physics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006449488,0.00009378915,0.000280806,0.0001201666,0.0002226034,0.000007704646,0.0001593445,0.00005041866,0.0003663291],"category_scores_gemma":[0.00009575982,0.00007151878,0.0001150452,0.0004227743,0.0006380273,0.00009934114,0.000257324,0.000161205,0.00001492755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006549995,"about_ca_system_score_gemma":0.000001718441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028533,"about_ca_topic_score_gemma":0.00001343884,"domain_scores_codex":[0.9985676,0.00008206582,0.0002398016,0.0001822935,0.0005497254,0.0003784943],"domain_scores_gemma":[0.9993264,0.0003252136,0.0000768958,0.0001649155,0.000007908356,0.00009865942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003170596,0.0001516151,0.9696583,0.00001327978,0.0001718445,1.504833e-7,0.001198363,0.0001844106,0.02475757,0.00008624097,0.0006307635,0.003115759],"study_design_scores_gemma":[0.000195143,0.0001151343,0.9788097,0.000006390448,0.0001345164,1.868272e-7,0.0005843632,0.001134906,0.005065719,0.00009195243,0.01377206,0.00008999057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967278,0.002076807,0.0000414248,0.0001699522,0.00002772758,0.0002035993,0.00006306972,0.000005131808,0.0006844517],"genre_scores_gemma":[0.9986849,0.0001155565,0.0003887647,0.000003595925,0.00004023788,0.000003533267,0.00002251773,0.000006481124,0.000734406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01969185,"threshold_uncertainty_score":0.4011046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06020315664199418,"score_gpt":0.3517953599673982,"score_spread":0.291592203325404,"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."}}