{"id":"W3086629002","doi":"10.1093/ej/ueaa112","title":"Buying Informed Voters: New Effects of Information on Voters and Candidates","year":2020,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Leverage (statistics); Accountability; Work (physics); Government (linguistics); Psychological intervention; Business; Public relations; Political science; Political economy; Public economics; Economics; Psychology; Law; Computer science","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":[0.004813264,0.0005148766,0.0008414352,0.0007711878,0.001251341,0.003262157,0.0006002417,0.00195484,0.02884025],"category_scores_gemma":[0.03148338,0.0003912408,0.0003984134,0.0006513803,0.002140038,0.002355278,0.001883393,0.002303453,0.001063692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234844,"about_ca_system_score_gemma":0.0007283273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645742,"about_ca_topic_score_gemma":0.002151579,"domain_scores_codex":[0.9961095,0.00252801,0.0001378492,0.0003783735,0.0004697112,0.0003763984],"domain_scores_gemma":[0.9275108,0.06005724,0.006064946,0.00336513,0.001144155,0.0018577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04539814,0.01967982,0.3226701,0.002338185,0.001036878,0.003534552,0.02520704,0.02977459,0.0721177,0.1568893,0.009621741,0.311732],"study_design_scores_gemma":[0.004435984,0.01179435,0.5685145,0.0004224238,0.001466369,0.001070051,0.01973484,0.05800911,0.02939443,0.2790979,0.02562727,0.000432857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531224,0.0001773146,0.002031456,0.001776562,0.00003563141,0.00007110331,0.0001569965,0.00004310303,0.04258529],"genre_scores_gemma":[0.997758,0.00005186978,0.0004457173,0.0001400226,0.00002055031,0.00001561746,0.00002681979,0.000007738166,0.001533641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02884025,"threshold_uncertainty_score":0.09648025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380361528715768,"score_gpt":0.2933898079653315,"score_spread":0.2695861926781738,"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."}}