{"id":"W4411241914","doi":"10.1007/s00199-025-01658-0","title":"Selection through information acquisition in coordination games","year":2025,"lang":"en","type":"article","venue":"Economic Theory","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"York University; New York University; National Science Foundation; University of California-San Diego","keywords":"Public finance; Selection (genetic algorithm); Coordination game; Computer science; Mathematical economics; Economics; Artificial intelligence; Macroeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006130469,0.0005221489,0.0009409712,0.0006608781,0.000334133,0.001574632,0.0004944389,0.0005928137,0.002045327],"category_scores_gemma":[0.03472227,0.0003883315,0.000361342,0.0004262975,0.001608959,0.001662326,0.001087416,0.0009455056,0.0001226106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092434,"about_ca_system_score_gemma":0.0007260965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007095392,"about_ca_topic_score_gemma":0.0005815887,"domain_scores_codex":[0.9946954,0.00351519,0.0002108181,0.0004675872,0.0007048395,0.0004062617],"domain_scores_gemma":[0.9422617,0.0433366,0.007866518,0.003832393,0.001254011,0.001448806],"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":[0.00728243,0.002477339,0.09837142,0.0008794219,0.0009615278,0.001398741,0.00250771,0.2370141,0.1016948,0.4351152,0.002255046,0.1100423],"study_design_scores_gemma":[0.001004699,0.002226392,0.05799509,0.00006532441,0.0001808169,0.0003298843,0.0003969923,0.6534081,0.01493451,0.2682112,0.001104972,0.0001420538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974515,0.00006763729,0.02148779,0.0002392187,0.000007889713,0.00004850493,0.00003071557,0.00003804114,0.003565244],"genre_scores_gemma":[0.9979783,0.00001849669,0.001745678,0.00001490833,0.00000438911,0.00001834218,0.000007284431,0.000003578763,0.0002090804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006130469,"threshold_uncertainty_score":0.03242141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008394226594433554,"score_gpt":0.2594698511575263,"score_spread":0.2510756245630927,"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."}}