{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002116831,0.00006584259,0.0001224172,0.0001696303,0.0001349649,0.0003302352,0.0002832233,0.00006687344,0.0004163508],"category_scores_gemma":[0.002064168,0.00005506118,0.00002977682,0.0002119912,0.0004546186,0.0006050972,0.00009945078,0.00007062157,0.0003461004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003050869,"about_ca_system_score_gemma":0.00006755694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.759706e-7,"about_ca_topic_score_gemma":7.064269e-7,"domain_scores_codex":[0.9991609,0.0001291495,0.0003626639,0.0001488376,0.0000745988,0.0001238023],"domain_scores_gemma":[0.998032,0.001454685,0.00008275313,0.0002619781,0.0001011145,0.00006746771],"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":[0.00003190358,0.000009525451,0.00006684285,6.917952e-7,0.000004292452,1.853549e-8,0.00006748965,0.00009885807,0.00001158108,0.9472221,0.0006320355,0.05185466],"study_design_scores_gemma":[0.0002573135,0.00001522702,0.0003889347,0.000001409111,0.000006120029,9.59411e-7,0.0003104371,0.02636807,0.0001706091,0.9561725,0.01625367,0.0000547234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2639538,0.0000102012,0.6330751,0.01337687,0.0002278457,0.000279335,0.00001323014,0.00004713546,0.0890164],"genre_scores_gemma":[0.9975023,0.000008096919,0.001535736,0.0007254055,0.00002340207,0.00001608536,0.000005030678,0.00000200015,0.0001819165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7335485,"threshold_uncertainty_score":0.4558749,"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."}}