{"id":"W4391178295","doi":"10.2139/ssrn.4704737","title":"Strategy-Proof Preference Aggregation and the Anonymity-Neutrality Tradeoff","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Anonymity; Neutrality; Preference; Proof of concept; Computer science; Economics; Econometrics; Mathematical economics; Microeconomics; Computer security; Political science; Law","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009447828,0.0003081081,0.0006206585,0.000169226,0.0002395053,0.0005181542,0.0005356601,0.0003074236,0.00003500574],"category_scores_gemma":[0.0001251914,0.0002428909,0.0002662746,0.0001349509,0.0001907484,0.0001124446,0.0002389516,0.00587359,0.00008892639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238377,"about_ca_system_score_gemma":0.0006759804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003104559,"about_ca_topic_score_gemma":0.0003428376,"domain_scores_codex":[0.9969535,0.0002316757,0.0009119877,0.000548592,0.0000754115,0.001278858],"domain_scores_gemma":[0.9985656,0.0001198366,0.0008012563,0.0004023679,0.00003822249,0.00007279127],"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":[0.0000708178,0.00001885771,0.0005765825,0.0001390503,0.00028508,0.000001721432,0.0006155189,0.0001815507,0.00000175498,0.9933417,0.00003669407,0.00473062],"study_design_scores_gemma":[0.0006629371,0.00008309704,0.0005028576,0.0001498532,0.0000491632,0.0001917419,0.000474355,0.001304125,0.00002380923,0.9958385,0.0004550228,0.0002645398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919334,0.08505363,0.004111173,0.002954601,0.00163205,0.0007712498,0.00009929096,0.00007440029,0.01337018],"genre_scores_gemma":[0.9899778,0.005856944,0.00001259428,0.00004074131,0.0005839038,0.00003214378,0.00000955451,0.00003613338,0.003450186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09804437,"threshold_uncertainty_score":0.9964199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04252557351999512,"score_gpt":0.2380887963024478,"score_spread":0.1955632227824526,"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."}}