{"id":"W2271390017","doi":"10.1609/aaai.v30i1.10026","title":"Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates","year":2016,"lang":"en","type":"preprint","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Voting; Shields; Work (physics); Microeconomics; Political science; Biology; Economics; Physics; Law; Politics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.006237779,0.0008794273,0.002384502,0.001177505,0.002084643,0.005668403,0.003277676,0.002239821,0.00838314],"category_scores_gemma":[0.0481252,0.001160281,0.00232149,0.001003988,0.005158755,0.008688779,0.007537739,0.006989725,0.001157694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577489,"about_ca_system_score_gemma":0.001807366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005167631,"about_ca_topic_score_gemma":0.0008706386,"domain_scores_codex":[0.992018,0.003209526,0.0004090086,0.001436622,0.001420765,0.001506106],"domain_scores_gemma":[0.9394537,0.03576828,0.004311936,0.01684993,0.001392886,0.002223404],"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":[0.001300578,0.000436915,0.003789934,0.000460441,0.0002711335,0.0005157656,0.0008619535,0.1412265,0.01416366,0.771656,0.007732958,0.05758411],"study_design_scores_gemma":[0.0001739528,0.0001819409,0.0009190198,0.00006152438,0.00007324849,0.0002907036,0.0001631656,0.2402552,0.006106754,0.74752,0.004202274,0.00005219435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4227397,0.0006862622,0.5211419,0.005124777,0.0002897623,0.0002805651,0.0006639219,0.001355093,0.04771804],"genre_scores_gemma":[0.9635364,0.0001749975,0.03074441,0.0004477761,0.0001215316,0.0001657541,0.0001998665,0.0002267661,0.004382461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00838314,"threshold_uncertainty_score":0.03298891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08316015348029338,"score_gpt":0.2804251185718978,"score_spread":0.1972649650916045,"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."}}