{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001634021,0.00006173392,0.00005931662,0.0001388684,0.0004197871,0.0005206121,0.00009639953,0.000081308,0.001370048],"category_scores_gemma":[0.0003644402,0.0000572598,0.00002962346,0.0001442356,0.0001049858,0.00180607,0.00001072117,0.000466154,0.0001055116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005827664,"about_ca_system_score_gemma":0.004676933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001555744,"about_ca_topic_score_gemma":0.0002971985,"domain_scores_codex":[0.9983646,0.0001336995,0.0001656179,0.00006123121,0.0003154094,0.0009594477],"domain_scores_gemma":[0.9995802,0.0001388857,0.00004974263,0.00003084193,0.00009902996,0.0001013065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001211365,0.000004883921,0.00003242205,0.000004500687,0.00002722481,0.000001108985,0.001500987,0.000002519249,0.00001561838,0.9622213,0.008252466,0.02792487],"study_design_scores_gemma":[0.0002095083,0.0001044081,0.00006197619,0.00002240942,0.00001919277,0.00008217444,0.005597955,0.0002168045,0.00001582743,0.423586,0.5699696,0.0001141116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.545344,0.005066616,0.2249855,0.1147441,0.02952925,0.00247864,0.001508369,0.00121771,0.07512584],"genre_scores_gemma":[0.995447,0.001170468,0.0001566665,0.0001940338,0.002330028,0.00001138752,0.00009751534,0.000005612205,0.0005872374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5617172,"threshold_uncertainty_score":0.9995428,"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."}}