{"id":"W1545081442","doi":"","title":"A Metropolitan Wind Resource Assessment for Bangkok, Thailand Part 2: GIS Analysis and Technical Wind Resource Potential","year":2013,"lang":"en","type":"article","venue":"Journal of Sustainable Energy and Environment","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind power; Metropolitan area; Turbine; Resource (disambiguation); Environmental science; Electricity; Work (physics); Meteorology; Wind speed; Quarter (Canadian coin); Electricity generation; Geography; Environmental engineering; Engineering; Power (physics); Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000579252,0.0002309978,0.0004236756,0.0004175881,0.0002074103,0.000135439,0.0001515832,0.0001360831,0.0001852638],"category_scores_gemma":[0.00002454286,0.0001887466,0.0001521431,0.0002134119,0.0001230793,0.0002521531,0.0001306233,0.0002119572,7.631899e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004815597,"about_ca_system_score_gemma":0.00004112829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00010179,"about_ca_topic_score_gemma":0.000006631401,"domain_scores_codex":[0.9982043,0.00005605162,0.0004752643,0.0002244896,0.0004342567,0.0006056313],"domain_scores_gemma":[0.9991238,0.00009414878,0.0001107915,0.0001940957,0.00004414112,0.0004330937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007843271,0.0008876212,0.01843443,0.0006642867,0.009504823,0.001173215,0.000723717,0.7801256,0.009752243,0.01147911,0.1234837,0.04298701],"study_design_scores_gemma":[0.002681977,0.0009778073,0.08326419,0.00005082048,0.0007810708,0.0002312881,0.008164947,0.00751509,0.001550098,0.00331396,0.8907269,0.0007418907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915559,0.005273167,0.06757486,0.002276457,0.00009339536,0.0004610705,0.00001566366,0.00006021565,0.008686178],"genre_scores_gemma":[0.9904345,0.001189978,0.003896942,0.00007986727,0.0002221152,0.0000269431,0.00001728645,0.00003381023,0.004098509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7726104,"threshold_uncertainty_score":0.7696863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004286937940561186,"score_gpt":0.1983783166408924,"score_spread":0.1940913787003312,"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."}}