{"id":"W2055028639","doi":"10.1145/1460797.1460801","title":"On domination game analysis for microeconomic data mining","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Knowledge Discovery from Data","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National University of Singapore","keywords":"Nash equilibrium; Game theory; Dimension (graph theory); Product (mathematics); Commodity; Computer science; Point (geometry); Best response; Space (punctuation); Mathematical economics; Economics; Mathematics","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":[0.008198864,0.002995659,0.003391332,0.00417315,0.001543905,0.003303134,0.002994104,0.001951651,0.00522264],"category_scores_gemma":[0.02809138,0.001211644,0.003032939,0.005536519,0.004365378,0.0049341,0.003647832,0.003690699,0.0007182587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00431597,"about_ca_system_score_gemma":0.003318073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083767,"about_ca_topic_score_gemma":0.006749301,"domain_scores_codex":[0.9949528,0.003103144,0.000234184,0.0005499937,0.0007952742,0.0003646441],"domain_scores_gemma":[0.9705976,0.02643483,0.0008856081,0.000780491,0.0008934896,0.0004080156],"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":[0.00006142603,0.0001123886,0.001341758,0.0002185113,0.000172056,0.0001608364,0.0001874658,0.6798005,0.0005257613,0.2949516,0.001799232,0.02066856],"study_design_scores_gemma":[0.00001871201,0.00001510531,0.00008055411,0.00001685578,0.00001282782,0.00002060951,0.00001673577,0.8109585,0.00009537335,0.1876908,0.001061216,0.00001279906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005846548,0.0007105552,0.9889575,0.0005452654,0.00005830654,0.0001789973,0.0001432661,0.00009317749,0.003466409],"genre_scores_gemma":[0.380694,0.002950071,0.6056885,0.0008449686,0.0004467708,0.001764754,0.0006342878,0.0002273936,0.006749227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01083767,"threshold_uncertainty_score":0.04336023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07051834428210217,"score_gpt":0.3199586946775136,"score_spread":0.2494403503954114,"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."}}