{"id":"W2018288672","doi":"10.1007/s10994-006-9713-5","title":"Slow emergence of cooperation for win-stay lose-shift on trees","year":2006,"lang":"en","type":"article","venue":"Machine Learning","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Division of Emerging Frontiers; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Exponential growth; Graph; Bounded function; Exponential function; Convergence (economics); Computer science; Dilemma; Mathematics; Discrete mathematics; Theoretical computer science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001962937,0.0002876977,0.001227383,0.0007724705,0.001419516,0.001353334,0.00103084,0.001675968,0.005169776],"category_scores_gemma":[0.01902743,0.0004496882,0.0007212699,0.0004446426,0.001631683,0.002259895,0.001334556,0.002467822,0.0005718755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900503,"about_ca_system_score_gemma":0.000738074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328032,"about_ca_topic_score_gemma":0.001804161,"domain_scores_codex":[0.9992734,0.000297685,0.00002569755,0.0001139446,0.00009371085,0.0001955682],"domain_scores_gemma":[0.9854374,0.01046717,0.0009512166,0.001094271,0.0006955036,0.001354388],"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":[0.0008453242,0.0003973079,0.01374883,0.0004612024,0.0002674969,0.0007974303,0.001879723,0.220395,0.03286454,0.654968,0.01813354,0.05524163],"study_design_scores_gemma":[0.00007550187,0.0001287703,0.004566749,0.00002915977,0.00004659123,0.0002503229,0.000399708,0.5739544,0.001701697,0.4175147,0.001293125,0.00003925067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991182,0.0002645305,0.0920673,0.001035073,0.00006371981,0.00006354613,0.0001407213,0.0002404043,0.00700646],"genre_scores_gemma":[0.9926426,0.00007396154,0.005466001,0.00007173147,0.00001454145,0.00004618338,0.00006660144,0.00004572275,0.001572639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005169776,"threshold_uncertainty_score":0.01729465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013706365712845,"score_gpt":0.2847747342946952,"score_spread":0.2710683685818502,"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."}}