{"id":"W2106930668","doi":"10.1504/ijex.2004.005096","title":"On the probabilistic distribution of wind speeds: theoretical development and comparison with data","year":2004,"lang":"en","type":"article","venue":"International Journal of Exergy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weibull distribution; Wind speed; Wind power; Probabilistic logic; Entropy (arrow of time); Principle of maximum entropy; Environmental science; Computer science; Statistical physics; Meteorology; Mathematics; Statistics; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006311412,0.0006561671,0.000747506,0.003507248,0.0005302717,0.001874666,0.001840942,0.001510358,0.001707008],"category_scores_gemma":[0.03690429,0.0005882123,0.0008347121,0.003000699,0.003198241,0.005375097,0.001751855,0.001696914,0.0003667544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098229,"about_ca_system_score_gemma":0.0007897433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571614,"about_ca_topic_score_gemma":0.0006333925,"domain_scores_codex":[0.9983196,0.0006381324,0.00008855153,0.0001865716,0.0006924953,0.00007465211],"domain_scores_gemma":[0.9699391,0.02665757,0.0008966478,0.001256098,0.001133518,0.0001171051],"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":[0.00003077163,0.00003391526,0.003430338,0.0002400876,0.00002963484,0.0002001856,0.000229882,0.4880329,0.0007319305,0.4729316,0.0006156239,0.03349315],"study_design_scores_gemma":[0.000004090383,0.00002438996,0.00114883,0.00009285541,0.000006979927,0.000121676,0.00004101959,0.8252875,0.0004698296,0.1713651,0.001411994,0.00002570728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02808485,0.001451271,0.9639869,0.0005556575,0.00004308889,0.00002886722,0.0001392147,0.00009851675,0.005611651],"genre_scores_gemma":[0.7874929,0.007605992,0.2016797,0.000237816,0.0004671635,0.0003089077,0.0005512708,0.0001314341,0.001524826],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006311412,"threshold_uncertainty_score":0.03337836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289588346994786,"score_gpt":0.2644217573978714,"score_spread":0.2415258739279236,"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."}}