{"id":"W4220964133","doi":"10.18280/ejee.240103","title":"Optimal DG Integration Using Artificial Ecosystem-Based Optimization (AEO) Algorithm","year":2022,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sizing; Robustness (evolution); Mathematical optimization; Minification; Computation; Convergence (economics); Computer science; Electric power system; Voltage; Optimization problem; Power (physics); Algorithm; Mathematics; Engineering","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":[0.0008112143,0.0002059064,0.0002487386,0.0003945214,0.000119792,0.00007351517,0.0002438416,0.00002728062,0.00009893779],"category_scores_gemma":[0.0001045114,0.0002275824,0.0001512409,0.0007171652,0.000006827414,0.0002315965,0.00003392454,0.0006824795,0.000006101356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006315364,"about_ca_system_score_gemma":0.00004927641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.172622e-7,"about_ca_topic_score_gemma":6.208355e-8,"domain_scores_codex":[0.9982885,0.0001629559,0.0006862368,0.000132814,0.0004078427,0.0003216878],"domain_scores_gemma":[0.9994196,0.00005159868,0.0001543755,0.0001200732,0.0001213807,0.0001329982],"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":[0.00002178762,0.00003607759,0.000001535506,0.0000103132,0.00003167233,0.0001085629,0.0000240771,0.9751795,0.01596233,0.0000634811,0.00008809705,0.008472555],"study_design_scores_gemma":[0.0003410822,0.0003634121,0.00002478906,0.00002970194,0.00003937209,0.0001944945,0.00001785175,0.9935575,0.004517834,0.000001595302,0.0006959236,0.0002164758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04465712,0.0002441586,0.9538308,0.00002252128,0.000856094,0.00009540295,0.00003018587,0.0001574841,0.0001062746],"genre_scores_gemma":[0.8962421,0.000005494257,0.1032668,0.000009933879,0.0003659879,0.000002020522,0.00002454604,0.00008083644,0.000002171814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.851585,"threshold_uncertainty_score":0.9280543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009216611758326707,"score_gpt":0.1930261760218004,"score_spread":0.1838095642634737,"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."}}