{"id":"W4401015365","doi":"10.5206/mt.v4i1.17122","title":"Computation of Nash Equilibria of Two-Person m x n Games","year":2024,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maple; Nash equilibrium; Computation; Mathematical economics; Computer science; Game theory; Mathematics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216143,0.0007646767,0.0010356,0.001061951,0.0009879641,0.001481792,0.001251621,0.001073269,0.008114113],"category_scores_gemma":[0.007969719,0.0005184317,0.0007228649,0.0005530424,0.001071176,0.001991171,0.001922934,0.0007865914,0.0007529125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259892,"about_ca_system_score_gemma":0.001073491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002464882,"about_ca_topic_score_gemma":0.003237518,"domain_scores_codex":[0.9992163,0.000376288,0.00002714383,0.00009914383,0.0001591378,0.0001219327],"domain_scores_gemma":[0.9979247,0.001571486,0.0001451461,0.0000771822,0.0001609252,0.0001205362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003658496,0.0001192746,0.002605763,0.0002265521,0.00009909267,0.0004695095,0.0004365445,0.6869897,0.001527664,0.2587586,0.00238097,0.04602044],"study_design_scores_gemma":[0.00003309203,0.00004582611,0.0001923982,0.00001819757,0.000009767088,0.00006712473,0.00008242793,0.8497818,0.001149609,0.1474476,0.001156054,0.0000161285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1320394,0.0001438761,0.8479232,0.0002985896,0.00003484824,0.0001493768,0.0001436741,0.0004350532,0.018832],"genre_scores_gemma":[0.7470325,0.0001234334,0.2459861,0.00007757077,0.0000195512,0.000269224,0.0002197556,0.00009121095,0.006180631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008114113,"threshold_uncertainty_score":0.02714437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253694020750771,"score_gpt":0.41047278508858,"score_spread":0.285103383013503,"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."}}