{"id":"W4366963360","doi":"10.2139/ssrn.4427474","title":"Selten's Horse an Experiment on Sequential Rationality∗","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Rationality; Horse; Computer science; Mathematical economics; Economics; Philosophy; Biology; Epistemology","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":[0.01299287,0.0007963584,0.001868347,0.0006659618,0.001510045,0.002522589,0.001302726,0.002971031,0.02431809],"category_scores_gemma":[0.06923298,0.0004682566,0.0009546498,0.0008255092,0.004548423,0.006866044,0.002283048,0.003054276,0.001021569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249356,"about_ca_system_score_gemma":0.00159576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085817,"about_ca_topic_score_gemma":0.0006577565,"domain_scores_codex":[0.9911326,0.006074579,0.0004439222,0.0007640511,0.001167407,0.0004174467],"domain_scores_gemma":[0.9229056,0.06394202,0.002061764,0.008743712,0.001223212,0.001123791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001314577,0.0002046983,0.00060955,0.0001940482,0.00009468165,0.0000667415,0.0003572325,0.002640447,0.0009981968,0.9708259,0.006952734,0.01574118],"study_design_scores_gemma":[0.0006169157,0.0002845924,0.0005161059,0.0000312256,0.0000359437,0.00004232401,0.00009359066,0.01069665,0.0006794534,0.9812374,0.005742883,0.00002300557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4860543,0.001121098,0.2201155,0.03114467,0.002147919,0.0009881437,0.001925487,0.0008098265,0.255693],"genre_scores_gemma":[0.946557,0.0003358788,0.03194602,0.001905416,0.0005297865,0.0005698884,0.0001740335,0.0001455882,0.01783634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02431809,"threshold_uncertainty_score":0.08135217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2465587891960109,"score_gpt":0.4637766552693375,"score_spread":0.2172178660733266,"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."}}