{"id":"W2511724755","doi":"10.1007/978-3-319-31281-1_6","title":"Evolution Solutions of Equilibrium Problems: A Computational Approach","year":2016,"lang":"en","type":"book-chapter","venue":"Springer optimization and its applications","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Guelph","funders":"","keywords":"Equilibrium point; Computer science; Mathematical optimization; Set (abstract data type); Stability (learning theory); State space; Oligopoly; Equilibrium selection; Mathematical economics; Applied mathematics; Mathematics; Game theory","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002893645,0.0002170965,0.0002591481,0.0002961571,0.0005050668,0.00005049276,0.0001739781,0.0003332959,0.0003210692],"category_scores_gemma":[0.00003227579,0.0002249563,0.00008812876,0.0001576963,0.0002912999,0.0002705396,0.00003067245,0.0001447206,0.00002761519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169616,"about_ca_system_score_gemma":0.0002748309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001719516,"about_ca_topic_score_gemma":0.00001353244,"domain_scores_codex":[0.9983699,0.00003691889,0.0005207878,0.0004235866,0.0004151486,0.0002336965],"domain_scores_gemma":[0.9984488,0.0001057549,0.0004727676,0.0001900525,0.000640589,0.0001419878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000032724,0.00003017462,0.00001901099,0.00005598326,0.00002443421,5.045887e-8,0.0004735138,0.2730392,0.000008920565,0.7258269,0.0001109177,0.0004076945],"study_design_scores_gemma":[0.002472737,0.0001405639,0.00049614,0.001136852,0.0008027498,0.000009017415,0.0007575733,0.4333035,0.00001648594,0.1217319,0.4365406,0.002591852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000003605962,0.0008488141,0.6640542,0.0003457987,0.00005090587,0.0008453668,0.0001770325,0.0001451112,0.3335292],"genre_scores_gemma":[0.1540439,0.005294416,0.2050601,0.0002216956,0.001189317,0.001113641,0.003555176,0.0003123363,0.6292094],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.604095,"threshold_uncertainty_score":0.9173449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935779249994643,"score_gpt":0.2549532134174874,"score_spread":0.225595420917541,"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."}}