{"id":"W2188311856","doi":"10.54966/jreen.v17i1.430","title":"Analysis of wind regimes for energy estimation in Bamenda, of the North West Region of Cameroon, based on the Weibull distribution","year":2023,"lang":"en","type":"article","venue":"Journal of Renewable Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weibull distribution; Wind power; Wind speed; Meteorology; Longitude; Geographic coordinate system; Latitude; Environmental science; Statistics; Standard deviation; Mathematics; Geography; Geodesy; Engineering","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":[0.0003666691,0.0003296986,0.0001730187,0.001363436,0.000235169,0.0003528797,0.0001591061,0.0001716596,0.000694702],"category_scores_gemma":[0.001014813,0.0001217016,0.0002406991,0.001175259,0.0001321939,0.0003412648,0.0001602607,0.0001457459,0.0001369501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003716963,"about_ca_system_score_gemma":0.0001595618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0129381,"about_ca_topic_score_gemma":0.01578079,"domain_scores_codex":[0.9998872,0.00003369064,0.000009291782,0.00002696369,0.00001992901,0.00002292042],"domain_scores_gemma":[0.9995219,0.0002757779,0.00008577552,0.00002875297,0.00006594927,0.00002196433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003014524,0.00004477656,0.7469174,0.0001136255,0.0001026258,0.0008636227,0.000465047,0.1846892,0.007470871,0.0007352224,0.0008829486,0.05741327],"study_design_scores_gemma":[0.000006312455,0.00007760667,0.7289611,0.00003982869,0.00002983677,0.0002463452,0.0007147715,0.266913,0.001604735,0.0003986816,0.0009819495,0.00002597054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909939,0.0001735694,0.007233179,0.00003294034,0.000004689807,0.00001721028,0.000767639,0.0000486913,0.0007280922],"genre_scores_gemma":[0.9980555,0.00006549115,0.001220867,0.000002311975,0.000002037872,0.00001199684,0.0004881806,0.000004506271,0.0001491643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0129381,"threshold_uncertainty_score":0.02572554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280568155367398,"score_gpt":0.2202257158457351,"score_spread":0.2074200342920611,"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."}}