{"id":"W4411270372","doi":"10.1109/access.2025.3579635","title":"Uncertainty Impact on Aggregator Performance for Peak Shaving","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"News aggregator; Computer science; Peaking power plant; Reliability engineering; Engineering; Operating system; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001823498,0.0009592208,0.0006466768,0.0004234106,0.0007961141,0.001429152,0.0008754139,0.0005444037,0.0009336829],"category_scores_gemma":[0.005787441,0.0002432354,0.0003001596,0.0004663155,0.0004986012,0.001324837,0.001194172,0.0007238649,0.0002005057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008577372,"about_ca_system_score_gemma":0.0007681835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005652019,"about_ca_topic_score_gemma":0.003509016,"domain_scores_codex":[0.9990081,0.0002461956,0.00006639315,0.0001671223,0.0002847019,0.0002274617],"domain_scores_gemma":[0.9970964,0.001367068,0.0003266171,0.0004973154,0.0005740572,0.0001385041],"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":[0.0006943014,0.00009089136,0.009057203,0.00006799299,0.00006590459,0.0001950922,0.0002099073,0.9445099,0.009474938,0.001909069,0.0006168414,0.0331081],"study_design_scores_gemma":[0.00001046929,0.0001848525,0.002484606,0.000008605441,0.00002681486,0.00005216695,0.0001653438,0.9869911,0.008685736,0.000996499,0.0003747837,0.00001908882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802499,0.000393754,0.1115597,0.0003040163,0.00006658429,0.00007071056,0.0001514607,0.00115313,0.006050621],"genre_scores_gemma":[0.9985086,0.00002282231,0.001282297,0.00001106946,0.000004369378,0.000005794848,0.00002553963,0.000007282146,0.0001321025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005652019,"threshold_uncertainty_score":0.01123822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438450739690773,"score_gpt":0.2949709187834145,"score_spread":0.2805864113865068,"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."}}