{"id":"W4413978672","doi":"10.1109/incet64471.2025.11140948","title":"AI-Powered Decentralized Energy Trading Platform with BiLSTM-based Generation Prediction and Carbon Footprint Analysis","year":2025,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Carbon footprint; Footprint; Computer science; Energy (signal processing); Electricity generation; Carbon fibers; Artificial intelligence; Power (physics); Greenhouse gas; Ecology; Geology","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":[0.00007445103,0.0001593264,0.0001962676,0.0003425494,0.00006896455,0.00006531338,0.00004642586,0.00008273824,0.00002040338],"category_scores_gemma":[0.000006535783,0.0001347201,0.00005280275,0.000664002,0.00001762191,0.00005510322,0.000007918107,0.00007688656,4.874523e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007716502,"about_ca_system_score_gemma":0.00002760181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002451923,"about_ca_topic_score_gemma":0.001383295,"domain_scores_codex":[0.9992644,0.0000111682,0.000213161,0.0001984903,0.0001082266,0.0002045886],"domain_scores_gemma":[0.9997,0.00002713956,0.00002215471,0.0001436965,0.00002779608,0.000079269],"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":[0.0000970224,0.0000477575,0.03962988,0.00009754447,0.001837147,0.000008728116,0.0002752682,0.8574001,0.0481377,0.01146831,0.0001131777,0.0408874],"study_design_scores_gemma":[0.0005724877,0.00003060613,0.0009452529,0.0000286286,0.000261055,0.000001144492,0.00001771127,0.9324235,0.06419811,0.00006003846,0.001325423,0.0001360442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7795898,0.0004424227,0.2076751,0.00007514703,0.0002484118,0.00007218842,0.000004502746,0.0004437194,0.01144865],"genre_scores_gemma":[0.9981684,0.00007104518,0.001455577,0.00008056825,0.00003939557,0.00001879108,0.00006291149,0.00001567507,0.00008764547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2185785,"threshold_uncertainty_score":0.5493728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008929226695031696,"score_gpt":0.1963836604670635,"score_spread":0.1874544337720319,"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."}}