{"id":"W4384913091","doi":"10.21203/rs.3.rs-3165889/v1","title":"A Behavioral Test and Classification of Solution Concepts in Games","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Prudence; Rationality; Mathematical economics; Solution concept; Optimism; Test (biology); Bounded rationality; Conservatism; Nash equilibrium; Minimax; Von Neumann architecture; Core (optical fiber); Anticipation (artificial intelligence); Pessimism; Computer science; Economics; Mathematics; Microeconomics; Psychology; Social psychology; Artificial intelligence; Epistemology; Pure mathematics; Philosophy","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":[0.008309477,0.001213358,0.001198916,0.002724189,0.001188686,0.003634168,0.002367464,0.003499845,0.009937455],"category_scores_gemma":[0.08367755,0.0003965837,0.001771453,0.001700302,0.00653872,0.008098437,0.003189832,0.003802874,0.0005104914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498111,"about_ca_system_score_gemma":0.002029758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515009,"about_ca_topic_score_gemma":0.0007787722,"domain_scores_codex":[0.9931548,0.003874863,0.0004691713,0.001066591,0.0009498096,0.0004848244],"domain_scores_gemma":[0.912657,0.07095242,0.004672333,0.004476851,0.00399233,0.003249123],"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":[0.0003418389,0.0006090448,0.008970463,0.000189206,0.00006825533,0.00004308457,0.0007282245,0.008511547,0.001555108,0.9448234,0.002364443,0.03179538],"study_design_scores_gemma":[0.0001293253,0.0003581514,0.003425336,0.0000677725,0.00003091574,0.00004369187,0.0005648875,0.1737165,0.0007279091,0.8199592,0.0009403023,0.00003604492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5645355,0.0002754349,0.4049757,0.004045643,0.0001667954,0.0004525382,0.0007286274,0.0002982282,0.02452161],"genre_scores_gemma":[0.9269847,0.0001568969,0.06893465,0.0002952009,0.0001312064,0.0004206291,0.0007831315,0.00005470507,0.002238806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009937455,"threshold_uncertainty_score":0.04394525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2772553520222247,"score_gpt":0.4187861409320953,"score_spread":0.1415307889098706,"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."}}