{"id":"W2588817336","doi":"10.22059/ees.2016.59545","title":"Wind resource assessment of Khuzestan province in Iran","year":2016,"lang":"en","type":"article","venue":"Environmental Engineering Science","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wind power; Wind speed; Weibull distribution; Turbine; Environmental science; Meteorology; Installation; Wind resource assessment; Offshore wind power; Marine engineering; Wind direction; Engineering; Geography; Electrical engineering; Statistics; Mathematics","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":[0.000326662,0.0001148658,0.0001098348,0.0001979761,0.00002706696,0.00001231971,0.0002920356,0.00002719217,0.00004794776],"category_scores_gemma":[0.00001799462,0.00009046556,0.00001971705,0.0002401796,0.000177925,0.000234148,0.00008364973,0.00008540115,0.00001024943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004604387,"about_ca_system_score_gemma":0.00003542679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002605243,"about_ca_topic_score_gemma":0.000001540575,"domain_scores_codex":[0.9987666,0.000005655515,0.0001847332,0.0002022031,0.0004488533,0.0003919685],"domain_scores_gemma":[0.9996179,0.00003375483,0.00001381016,0.0002051625,0.000001518537,0.0001278491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000002305162,0.00002730119,0.02499505,0.00002365801,0.00000483337,0.0000143289,0.00008326516,0.1950626,0.7717454,0.0002396604,0.0000292374,0.007772409],"study_design_scores_gemma":[0.0004714041,0.0000575136,0.8478625,0.0001235242,0.000001249928,0.000007434602,0.00005036153,0.03136101,0.1168438,0.00001451824,0.002925112,0.0002816226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930729,0.00005445317,0.003980222,0.00002839119,0.00007301071,0.00009227994,0.000006165338,0.00006213818,0.002630459],"genre_scores_gemma":[0.996873,0.0000296631,0.002914012,0.000003836338,0.00001431638,0.000007305012,8.316271e-7,0.00001547385,0.0001415585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8228675,"threshold_uncertainty_score":0.3689079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005290297259250242,"score_gpt":0.1980548501737946,"score_spread":0.1927645529145443,"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."}}