{"id":"W1982840974","doi":"10.1145/1978721.1978724","title":"Linear solvers for nonlinear games","year":2011,"lang":"en","type":"article","venue":"ACM SIGecom Exchanges","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constructive; Reduction (mathematics); USable; Computer science; Nash equilibrium; Mathematical optimization; Theoretical computer science; Mathematics; Mathematical economics","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":[0.00121979,0.001223004,0.000712952,0.0007367627,0.0005970092,0.001794197,0.001548845,0.001057368,0.03258783],"category_scores_gemma":[0.006003232,0.0006347008,0.0008473481,0.0009674969,0.000921899,0.002230687,0.002581456,0.002545684,0.007437654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109357,"about_ca_system_score_gemma":0.001396191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188416,"about_ca_topic_score_gemma":0.005483806,"domain_scores_codex":[0.998974,0.0003871119,0.00006979616,0.0001284306,0.0003195533,0.0001212223],"domain_scores_gemma":[0.9978314,0.00158539,0.0000786164,0.0002337976,0.0002234006,0.00004736668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001350183,0.0001791786,0.0004364818,0.0008959338,0.0001177474,0.0001561201,0.0002295772,0.1612662,0.003094149,0.5254755,0.04205887,0.2659552],"study_design_scores_gemma":[0.0001264066,0.00002156554,0.00005917397,0.00004909818,0.0000165743,0.00005601298,0.00004965742,0.7279698,0.002207304,0.2432353,0.02619503,0.00001400299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002367717,0.0004611942,0.9755762,0.0006047449,0.0001054441,0.0001180001,0.0002197023,0.001918162,0.01862887],"genre_scores_gemma":[0.1238931,0.0009358238,0.8450664,0.0005589389,0.000256632,0.0007859669,0.0009289578,0.001121729,0.02645253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03258783,"threshold_uncertainty_score":0.1090171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.341295558988655,"score_gpt":0.4151936907719584,"score_spread":0.07389813178330334,"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."}}