{"id":"W4243803868","doi":"10.1257/rct.3199-1.0","title":"One in a Million: Field Experiments on Perceived Closeness of the Election and Voter Turnout","year":2018,"lang":"en","type":"dataset","venue":"AEA Randomized Controlled Trials","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Social Sciences and Humanities Research Council","funders":"Washington Center for Equitable Growth; National Science Foundation","keywords":"Turnout; Voter turnout; Closeness; Field (mathematics); Political science; Mathematics; Voting; Law; Politics; Mathematical analysis","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":[0.007568784,0.001422774,0.001170887,0.001113693,0.001163312,0.001147041,0.003122529,0.002386715,0.0208383],"category_scores_gemma":[0.01574964,0.0005492312,0.001361369,0.001283768,0.001176135,0.0009391749,0.001576264,0.002774394,0.01012376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192915,"about_ca_system_score_gemma":0.001376864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018566,"about_ca_topic_score_gemma":0.03334707,"domain_scores_codex":[0.9974239,0.001450935,0.0002065908,0.0004532674,0.000298828,0.0001665697],"domain_scores_gemma":[0.9869835,0.006877836,0.001520425,0.002949592,0.0008646387,0.0008039817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.007426425,0.004304474,0.02729815,0.001904659,0.0007313478,0.0002328035,0.0004839226,0.00497001,0.0007579394,0.002734126,0.9260128,0.02314335],"study_design_scores_gemma":[0.05675023,0.00413132,0.2204638,0.001046419,0.001429443,0.0008879559,0.001153104,0.03397921,0.003321897,0.01262606,0.6637532,0.0004573659],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1022923,0.001190758,0.002834824,0.002689167,0.0007217405,0.002133279,0.8778826,0.002386149,0.007869265],"genre_scores_gemma":[0.09104313,0.0004186552,0.009597624,0.001243395,0.0002358889,0.007498018,0.8801902,0.0002696424,0.009503419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0208383,"threshold_uncertainty_score":0.06971103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.057726267231075,"score_gpt":0.3874528700939794,"score_spread":0.3297266028629044,"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."}}