{"id":"W2547582578","doi":"10.6000/1927-5129.2016.12.64","title":"Comparison of Wind Potential of Ormara and Jiwani (Balochistan), Pakistan","year":2016,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weibull distribution; Wind speed; Meteorology; Environmental science; Distribution (mathematics); Climatology; Geography; Physical geography; Statistics; Geology; Mathematics","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":[0.0005893584,0.00007561526,0.0002430888,0.0001577754,0.0000508664,0.00001799566,0.000209179,0.00003022133,0.00004961317],"category_scores_gemma":[0.00001189734,0.00004550106,0.00003772507,0.0001852668,0.0003122078,0.0001235781,0.00002952687,0.00007669251,0.000001402696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002794198,"about_ca_system_score_gemma":0.000101138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003604778,"about_ca_topic_score_gemma":0.000006999743,"domain_scores_codex":[0.9987795,0.00001158039,0.0004345973,0.00007365621,0.0005197262,0.0001808995],"domain_scores_gemma":[0.9995624,0.00006230875,0.0001544101,0.00006012866,0.00005524769,0.0001054791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001708251,0.0001178182,0.008706667,0.0001245636,0.0001080887,0.000008348085,0.001109635,0.007531606,0.8706087,0.004966489,0.00244853,0.1040988],"study_design_scores_gemma":[0.003658926,0.001389604,0.1373443,0.000504877,0.00006273153,0.00008795769,0.004125477,0.002584553,0.8313504,0.007950575,0.01032849,0.0006121703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881891,0.0004023725,0.00401769,0.00007615396,0.0001338973,0.00003354501,0.000003114275,0.000005864527,0.007138249],"genre_scores_gemma":[0.9974998,0.0001047072,0.002313524,0.00000417489,0.00004820602,3.673651e-7,9.97195e-8,0.000004189492,0.00002491793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1286376,"threshold_uncertainty_score":0.185548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642113326481011,"score_gpt":0.2785975180218899,"score_spread":0.2621763847570798,"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."}}