{"id":"W7117987694","doi":"10.1007/978-3-032-10126-6_31","title":"A DEVS-Based Study of Social Welfare Evolution in Iterative Combinatorial Double Auctions","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes on data engineering and communications technologies","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Agencia Estatal de Investigación; European Commission","keywords":"Combinatorial auction; Common value auction; Outcome (game theory); Convergence (economics); Social Welfare; Resource allocation; Auction theory; Double auction; Auction algorithm; Vickrey–Clarke–Groves auction","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":[0.003548223,0.001224322,0.002139081,0.00166229,0.0009519033,0.003161923,0.003093894,0.002217542,0.007192248],"category_scores_gemma":[0.01867722,0.0011133,0.001878703,0.001718178,0.003560428,0.003722452,0.002459309,0.003229128,0.0004484904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003738767,"about_ca_system_score_gemma":0.001886669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004442526,"about_ca_topic_score_gemma":0.002626684,"domain_scores_codex":[0.998656,0.000818311,0.00003484759,0.0001189896,0.0001905433,0.0001812068],"domain_scores_gemma":[0.9890975,0.008648569,0.0006309886,0.000391479,0.0006445463,0.0005870455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008239791,0.00009423122,0.0007301071,0.0001712045,0.00008482174,0.0001390463,0.0002089308,0.3713546,0.001287149,0.6160383,0.002741612,0.007067669],"study_design_scores_gemma":[0.000009972382,0.00001708051,0.0001582431,0.00002357238,0.00001125699,0.00002957945,0.00004019268,0.8848404,0.0001147298,0.1140416,0.0007030132,0.0000103425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1134528,0.002710312,0.8040914,0.002687114,0.0003555217,0.000175777,0.0003142562,0.0001838527,0.07602891],"genre_scores_gemma":[0.8873711,0.001346868,0.06818909,0.000467821,0.0003738855,0.0003084277,0.0001722316,0.0003353719,0.04143523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007192248,"threshold_uncertainty_score":0.02712673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07122118803568042,"score_gpt":0.3474731022067536,"score_spread":0.2762519141710732,"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."}}