{"id":"W4394829240","doi":"10.55164/ajstr.v27i1.250609","title":"Optimal Wind Power Plant Layout Using Ant Colony Optimization","year":2023,"lang":"en","type":"article","venue":"ASEAN Journal of Scientific and Technological Reports","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Thailand’s Energy Conservation Fund; Thaksin University","keywords":"Wind power; Terrain; Turbine; Marine engineering; Computational fluid dynamics; Power station; Environmental science; Wind speed; Ant colony optimization algorithms; Wake; Meteorology; Automotive engineering; Computer science; Engineering; Aerospace engineering; Electrical engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003452951,0.0008016503,0.0008017928,0.00091741,0.0003960183,0.0008794232,0.0005994381,0.0006787035,0.002581174],"category_scores_gemma":[0.001152431,0.0005795982,0.0005178765,0.0008461492,0.0003430651,0.0005723431,0.0004588136,0.0004323326,0.0003363353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006716963,"about_ca_system_score_gemma":0.001243076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009409834,"about_ca_topic_score_gemma":0.0118477,"domain_scores_codex":[0.9998337,0.00004729523,0.000007780769,0.0000361852,0.00004143217,0.00003359249],"domain_scores_gemma":[0.9996309,0.0001702456,0.0000612412,0.00001756803,0.00009171097,0.00002817529],"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":[0.00001635196,0.00001822032,0.0004472492,0.00002802259,0.000009526752,0.00003833903,0.00001267323,0.9913795,0.000764952,0.0004006207,0.0002751786,0.00660941],"study_design_scores_gemma":[0.00001058187,0.00001785618,0.0001673039,0.000003183007,0.00000529323,0.00000660175,0.00001945085,0.9989051,0.0002265855,0.0003883588,0.0002467729,0.000002895567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4036895,0.0007327305,0.5684771,0.0004390259,0.0001096538,0.0004349722,0.0006060152,0.001139918,0.02437112],"genre_scores_gemma":[0.8088959,0.0002239661,0.1862472,0.00005128471,0.00001210736,0.0002713308,0.000343594,0.0001043691,0.003850177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009409834,"threshold_uncertainty_score":0.01871014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191513620001349,"score_gpt":0.2358595515357477,"score_spread":0.2139444153357342,"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."}}