{"id":"W3134648348","doi":"10.2139/ssrn.3140046","title":"Sleepers, Thresholds, and Gateways: Drift and Stability in the Ultimatum Game and the Prisoners’ Dilemma","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Ultimatum game; Dilemma; Prisoner's dilemma; Stability (learning theory); Mathematical economics; Economics; Psychology; Game theory; Computer science; Mathematics","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":[0.004918303,0.0003908279,0.001109768,0.001510536,0.001226959,0.003780816,0.001008931,0.002406935,0.003889117],"category_scores_gemma":[0.03441337,0.0006391518,0.0005371542,0.000969964,0.005609768,0.008396029,0.002560806,0.002247925,0.0003199638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008585766,"about_ca_system_score_gemma":0.0006812448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166549,"about_ca_topic_score_gemma":0.001527752,"domain_scores_codex":[0.9987214,0.00073348,0.00005831838,0.0002494493,0.000117425,0.0001198902],"domain_scores_gemma":[0.9816218,0.01373395,0.002384815,0.0006901129,0.0005583838,0.001010927],"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":[0.0006325787,0.0001389958,0.02213042,0.0001024706,0.0001209536,0.0003323203,0.005566746,0.02747739,0.002004851,0.9040717,0.002241434,0.03518029],"study_design_scores_gemma":[0.0001244571,0.0001121419,0.008587459,0.00003817537,0.00005325123,0.0001864756,0.001354168,0.06555008,0.0002443709,0.9229595,0.0007408852,0.0000490065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344324,0.0007966023,0.04976862,0.003609946,0.00006393122,0.00003628569,0.0000721771,0.00005480246,0.01116531],"genre_scores_gemma":[0.9945094,0.0001886649,0.004006187,0.00009486615,0.0000312462,0.00002436738,0.00001550406,0.00001199755,0.00111779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004918303,"threshold_uncertainty_score":0.02601081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076795010130978,"score_gpt":0.2471034925809797,"score_spread":0.2363355424796699,"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."}}