{"id":"W2973606980","doi":"10.48550/arxiv.1909.09320","title":"Discerning Solution Concepts","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Counterfactual thinking; Nash equilibrium; Identification (biology); Mathematical economics; Set (abstract data type); Solution concept; Stochastic game; Covariate; Computer science; Risk dominance; Best response; Epsilon-equilibrium; Econometrics; Mathematics; Social psychology; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001066983,0.0002160596,0.0003304267,0.0002221078,0.00022013,0.0001539605,0.00162122,0.0002532967,0.0008870685],"category_scores_gemma":[0.000301429,0.0002081699,0.0002594786,0.0005615982,0.0002307082,0.0002240251,0.001310001,0.0005099688,0.004771057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124391,"about_ca_system_score_gemma":0.0001367112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004479884,"about_ca_topic_score_gemma":0.00002342356,"domain_scores_codex":[0.9978423,0.0003002918,0.0002896955,0.001088348,0.0002125555,0.0002667907],"domain_scores_gemma":[0.9971115,0.0006182053,0.0004277375,0.001484501,0.0002282189,0.0001298139],"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":[0.00006822696,0.00009530683,0.01270521,0.00001844122,0.00005755802,0.00003030486,0.0005486129,0.4606025,0.0003158815,0.5180774,0.004648372,0.002832196],"study_design_scores_gemma":[0.0004777429,0.00003552431,0.007355539,0.00007148331,0.00009436565,0.000003094531,0.001176646,0.1922693,0.0002078741,0.7777933,0.01993383,0.00058129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6836089,0.00003524267,0.2818251,0.0001892771,0.000568895,0.0003034322,0.0000498988,0.0001062193,0.03331305],"genre_scores_gemma":[0.9671628,0.00002415549,0.00009722576,0.00006655596,0.00009014186,9.890076e-7,0.00002301694,0.00001303873,0.03252202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.283554,"threshold_uncertainty_score":0.9960039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2712411035894527,"score_gpt":0.2991762161213254,"score_spread":0.02793511253187275,"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."}}