{"id":"W2147798323","doi":"10.1016/j.red.2007.04.005","title":"Electoral design and voter welfare from the US Senate: Evidence from a dynamic selection model","year":2007,"lang":"en","type":"article","venue":"Review of Economic Dynamics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Yale University; National Science Foundation","keywords":"Harm; Economics; Welfare; Quality (philosophy); Limit (mathematics); Term (time); Public economics; Microeconomics; Political science; Law; Market economy","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":[0.006784908,0.0004529443,0.001412018,0.001604604,0.001725066,0.002084197,0.0007001187,0.001048694,0.01612416],"category_scores_gemma":[0.01924852,0.0003821095,0.001038445,0.002705241,0.001195597,0.0009615151,0.001356784,0.001044407,0.001354003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008964634,"about_ca_system_score_gemma":0.0008022739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01612045,"about_ca_topic_score_gemma":0.03224925,"domain_scores_codex":[0.9976203,0.001739397,0.00006741485,0.0001521279,0.0001502644,0.0002704792],"domain_scores_gemma":[0.9798233,0.01490288,0.002312273,0.001254497,0.0008999508,0.0008070889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006282149,0.0009565266,0.8254734,0.0006401119,0.002545378,0.0007368113,0.00288028,0.01717837,0.0008260556,0.03369241,0.01707416,0.09171427],"study_design_scores_gemma":[0.001157185,0.001362819,0.8611737,0.0002573435,0.00359207,0.0007545274,0.008297171,0.03414774,0.001395302,0.06136629,0.02635033,0.000145449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846847,0.001969109,0.001719037,0.001623619,0.00005640026,0.00004219546,0.0007826664,0.0000244934,0.009097807],"genre_scores_gemma":[0.9936432,0.001171807,0.0002690456,0.0002403317,0.00006024427,0.00002657031,0.0006734417,0.00001589466,0.00389939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01612416,"threshold_uncertainty_score":0.05394071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243902685715634,"score_gpt":0.2643808807711487,"score_spread":0.2399906121995853,"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."}}