{"id":"W4410940438","doi":"10.3982/te5768","title":"Adversarial coordination and public information design","year":2025,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Università Bocconi; National Science Foundation","keywords":"Adversarial system; Public information; Computer science; Artificial intelligence; Internet privacy","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":[0.008709561,0.001564772,0.001540224,0.001004852,0.0008655471,0.002820296,0.002093256,0.00245154,0.004830843],"category_scores_gemma":[0.02660855,0.0007610883,0.0009356028,0.0009396009,0.004295836,0.003896197,0.002682765,0.002747361,0.0004657404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002907165,"about_ca_system_score_gemma":0.001993901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538308,"about_ca_topic_score_gemma":0.001159506,"domain_scores_codex":[0.9923603,0.004535648,0.0002958851,0.001176146,0.0008305387,0.0008014453],"domain_scores_gemma":[0.9707591,0.02168572,0.003380934,0.002105973,0.001074678,0.0009935453],"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":[0.0001872965,0.00007838868,0.0006184097,0.0001450348,0.0001037359,0.000181736,0.0001871467,0.417224,0.0009734844,0.5660888,0.001280828,0.01293117],"study_design_scores_gemma":[0.00007488656,0.00008019045,0.0001298667,0.00003124128,0.00002089449,0.00004198501,0.0000360359,0.6077307,0.000480771,0.3895141,0.001837829,0.00002159443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03256095,0.0002982877,0.9505714,0.001652937,0.00008565839,0.0001640858,0.0001716397,0.0001400737,0.01435499],"genre_scores_gemma":[0.904497,0.0004519173,0.08644871,0.0003952773,0.0001241337,0.000414416,0.000138909,0.00006563839,0.007464152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008709561,"threshold_uncertainty_score":0.04606116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406982573912911,"score_gpt":0.3187372239782101,"score_spread":0.274667398239081,"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."}}