{"id":"W3121505534","doi":"","title":"A Dynamic Duverger's Law","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Duverger's law; Proportional representation; Voting; Incentive; Representation (politics); Variable (mathematics); Mathematical economics; Economics; Microeconomics; Econometrics; Computer science; Political science; Law; Mathematics; Politics; Democracy; Split-ticket voting","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00216191,0.0006168483,0.001510487,0.001078025,0.0002450268,0.0005907502,0.001502444,0.0009344149,0.001561801],"category_scores_gemma":[0.0003596722,0.000797823,0.0004744615,0.000174956,0.0005613486,0.0003958867,0.00190178,0.002411281,0.001660981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00260311,"about_ca_system_score_gemma":0.00028104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004914324,"about_ca_topic_score_gemma":0.001847957,"domain_scores_codex":[0.9943717,0.00009673917,0.00190847,0.001693733,0.00007754863,0.001851773],"domain_scores_gemma":[0.9962964,0.0003169638,0.0007344327,0.002077959,0.00006890832,0.0005053049],"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":[0.0001287732,0.0009943744,0.0187202,0.0008331703,0.0009223919,0.000072688,0.002246077,0.02097815,0.00005572009,0.8886946,0.00483301,0.0615208],"study_design_scores_gemma":[0.001628987,0.000217262,0.01990341,0.0003022042,0.000009858913,0.00002322933,0.0004524642,0.09368085,0.0000364817,0.3419932,0.5395731,0.002178927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3999234,0.001085848,0.000004989145,0.001057538,0.001328945,0.0009078525,0.0005503725,0.00007209297,0.5950689],"genre_scores_gemma":[0.9710757,0.01550063,0.0005973318,0.0008440059,0.000285388,0.0004635555,0.0001366976,0.0001927946,0.01090387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.584165,"threshold_uncertainty_score":0.9998902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04383408182532694,"score_gpt":0.2951115268763753,"score_spread":0.2512774450510484,"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."}}