{"id":"W3105119413","doi":"10.33774/apsa-2020-mwgc7","title":"Voter Preferences, Local Party Competitiveness, Turnout, and Strategic Voting: Deterrents to Voting are Unequally Distributed","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Voting; Turnout; Group voting ticket; Split-ticket voting; Meaning (existential); Contingent vote; Business; Political science; Economics; Public economics; Political economy; Politics; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001547023,0.0001642963,0.000480091,0.000985556,0.001395935,0.001438569,0.0005108013,0.0003893981,0.008013358],"category_scores_gemma":[0.008637087,0.0001226066,0.0003075419,0.001642626,0.001526161,0.0004138795,0.001022245,0.0006180783,0.0005030591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179813,"about_ca_system_score_gemma":0.001602398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3566436,"about_ca_topic_score_gemma":0.5558856,"domain_scores_codex":[0.9986744,0.0002875174,0.00006111972,0.0002485703,0.0003214154,0.0004070285],"domain_scores_gemma":[0.9933955,0.002340603,0.002062383,0.0005067845,0.0005657999,0.00112882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002219791,0.00004866918,0.9923942,0.00001831188,0.00008009001,0.00004611374,0.0007471035,0.0004017912,0.0004659433,0.00104205,0.0002453925,0.004288386],"study_design_scores_gemma":[0.00001128667,0.00003187833,0.9961958,0.000008110726,0.00003041179,0.00003714925,0.00161489,0.0006076134,0.0001862701,0.0005324011,0.0007370094,0.000007221381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962763,0.00005346002,0.0001984085,0.00009300601,0.000001535296,0.0000108668,0.00029666,0.000002652657,0.003067262],"genre_scores_gemma":[0.9991065,0.00001501092,0.00004288366,0.000009966401,0.000001908701,0.000003252298,0.0002436809,0.000001525618,0.000575283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3566436,"threshold_uncertainty_score":0.7091355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125473829101961,"score_gpt":0.3560855695804906,"score_spread":0.2306117404785296,"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."}}