{"id":"W2142843716","doi":"","title":"The Discursive Dilemma and Probabilistic Judgement Aggregation","year":2008,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Judgement; Proposition; Dilemma; Probabilistic logic; Jury; Mathematical economics; Valuation (finance); Aggregate (composite); Truth value; Economics; Computer science; Epistemology; Political science; Artificial intelligence; Law; Philosophy","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":[0.0006576673,0.0001879593,0.0003592365,0.0001328209,0.001046208,0.00002397305,0.0005469242,0.00006824785,0.0000985466],"category_scores_gemma":[0.0002595588,0.000192252,0.0001668429,0.000153625,0.001020605,0.0001765417,0.0003018769,0.0002421287,0.00006768904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000988558,"about_ca_system_score_gemma":0.00004346275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247857,"about_ca_topic_score_gemma":0.0006043683,"domain_scores_codex":[0.9986609,0.0001456081,0.0003511638,0.0004206958,0.0001003759,0.0003212738],"domain_scores_gemma":[0.998524,0.0003582561,0.0004076901,0.0005127272,0.00006981951,0.0001274826],"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":[0.0007543222,0.0004737185,0.06401789,0.0003043477,0.0005677285,0.0001191122,0.07903825,0.0002839192,0.0001213363,0.841136,0.004048874,0.009134533],"study_design_scores_gemma":[0.004938115,0.001087071,0.3460461,0.0005006629,0.0001298699,0.0002350666,0.03049389,0.02377379,0.0000508862,0.1472584,0.4438924,0.001593761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685585,0.001148235,0.0005896949,0.001140238,0.0001717805,0.0004591315,0.0002451412,0.00004450394,0.02764279],"genre_scores_gemma":[0.9921244,0.001059451,0.0005005364,0.00003278102,0.00004019905,0.000001661056,0.00002801921,0.00001749642,0.006195487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6938776,"threshold_uncertainty_score":0.8046695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266169856520494,"score_gpt":0.1790882401336788,"score_spread":0.1524712544816294,"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."}}