{"id":"W3201586842","doi":"10.3982/ecta16729","title":"An Axiomatic Model of Persuasion","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Communication source; Prior probability; Computer science; Axiom; Action (physics); Representation (politics); Preference; Persuasion; Axiomatic system; Planner; Bayesian probability; Theoretical computer science; Mathematical economics; Artificial intelligence; Mathematics; Statistics; Psychology; Social psychology","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":[0.0008390559,0.00004669078,0.000158416,0.0003796772,0.00005872357,0.00005476655,0.0003841622,0.00002814756,0.001475211],"category_scores_gemma":[0.001045009,0.00003882125,0.00006887846,0.001833691,0.00004311064,0.0001980332,0.00004991659,0.00003530855,0.0004728545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001178869,"about_ca_system_score_gemma":0.00005153535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001141287,"about_ca_topic_score_gemma":0.000001055122,"domain_scores_codex":[0.9990675,0.0000620067,0.0003447522,0.0002376519,0.0002005547,0.00008750687],"domain_scores_gemma":[0.9984819,0.0005216196,0.0001280765,0.0006488757,0.0001402043,0.00007927326],"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":[0.0000192973,0.0009631783,0.005610471,0.00001226187,0.00002879052,0.000002776324,0.002181835,0.02833453,0.03174721,0.7061502,0.002536478,0.2224129],"study_design_scores_gemma":[0.0002688496,0.00007440781,0.009518427,0.000004291179,0.00001230537,0.000005545343,0.001898373,0.3365279,0.01784349,0.6297334,0.003943322,0.0001696802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9220518,0.00008856329,0.03522446,0.0004257292,0.00003991854,0.00004532743,0.00002054775,0.00001520776,0.04208848],"genre_scores_gemma":[0.9934073,0.000006119792,0.004727745,0.00007412501,0.00001427731,0.000005668157,0.0000031781,0.000003741538,0.001757841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3081933,"threshold_uncertainty_score":0.9994376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2618136213847083,"score_gpt":0.424440152479483,"score_spread":0.1626265310947747,"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."}}