{"id":"W4400186649","doi":"10.2139/ssrn.4877831","title":"Adversarial Coordination and Public Information Design: Additional Material","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Adversarial system; Computer science; Business; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002904863,0.001084825,0.0007696016,0.003037639,0.001091088,0.001792606,0.001808276,0.001604,0.7843608],"category_scores_gemma":[0.04498408,0.000615305,0.0009700634,0.003375103,0.0004770406,0.002609822,0.001605801,0.00101857,0.2248301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947475,"about_ca_system_score_gemma":0.003396914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007593904,"about_ca_topic_score_gemma":0.012967,"domain_scores_codex":[0.9979323,0.0005201952,0.0001871867,0.000189235,0.0008548095,0.0003162536],"domain_scores_gemma":[0.958878,0.02874895,0.001370256,0.003494621,0.00649422,0.001014007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001585419,0.0004085124,0.001391625,0.0006384376,0.00001606145,0.00009319101,0.0001383258,0.00186279,0.0002297203,0.01878441,0.9408178,0.03546064],"study_design_scores_gemma":[0.0008356867,0.0003275955,0.01217467,0.0009825559,0.00006143675,0.0002859104,0.0005790861,0.009248812,0.002894815,0.07786641,0.8945802,0.0001628211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006843185,0.0003436058,0.03783022,0.007145883,0.002863417,0.00370135,0.710358,0.002618132,0.2282961],"genre_scores_gemma":[0.1546603,0.0020277,0.06290372,0.002935288,0.003910731,0.01053475,0.4566078,0.002758036,0.3036616],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7843608,"threshold_uncertainty_score":0.3075832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519900851708176,"score_gpt":0.2743525169434446,"score_spread":0.2591535084263629,"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."}}