{"id":"W4400834226","doi":"10.1002/acs.3881","title":"Distributed online optimization for integrated energy systems: A multi‐agent system consensus approach","year":2024,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Computer science; Multi-agent system; Distributed computing; Artificial intelligence","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":[0.0003248549,0.0002351628,0.0003602432,0.0003584261,0.0000657678,0.0003648299,0.0001711625,0.0001317432,0.000002497107],"category_scores_gemma":[0.00004192481,0.00018754,0.000109976,0.0001861779,0.00004599692,0.000296036,0.00001034495,0.0002010134,3.142461e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004236083,"about_ca_system_score_gemma":0.0001453189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003571198,"about_ca_topic_score_gemma":0.000003290319,"domain_scores_codex":[0.9984719,0.00007584678,0.0007691196,0.0001825428,0.0003203084,0.0001802944],"domain_scores_gemma":[0.9977567,0.0001158871,0.00022682,0.0000427855,0.001763957,0.00009381107],"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":[0.0002143064,0.00004191447,0.000004425503,0.000241964,0.0006110327,0.00005366007,0.0001211418,0.9854115,0.001007009,0.001527073,0.0002048972,0.01056104],"study_design_scores_gemma":[0.001433526,0.00009385411,0.000005423133,0.001491407,0.0001172157,0.000501429,0.001454066,0.9936838,0.00009728726,0.00001204378,0.0009289329,0.0001810256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006387114,0.01076694,0.9866778,0.00005704658,0.001012417,0.0001641988,0.0004152046,0.0001619011,0.0001057375],"genre_scores_gemma":[0.9758837,0.00006539784,0.02322744,0.0000186451,0.0005102052,0.00002852994,0.0001746188,0.00004808854,0.00004339762],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9752449,"threshold_uncertainty_score":0.7647657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362278578198083,"score_gpt":0.2261282261517689,"score_spread":0.2125054403697881,"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."}}