{"id":"W2129215743","doi":"10.1111/j.1467-9779.2010.01482.x","title":"<scp>A Psychologically Based Model of Voter Turnout</scp>","year":2010,"lang":"en","type":"article","venue":"Journal of Public Economic Theory","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Regret; Turnout; Voter turnout; Victory; Voting; Margin (machine learning); Economics; Microeconomics; Politics; Demographic economics; Political science; Computer science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001361462,0.0001131646,0.0002820175,0.0001071911,0.00004962216,0.00006767291,0.0004154601,0.00008218829,0.0004460753],"category_scores_gemma":[0.00005590551,0.00009339901,0.0002709058,0.00003603678,0.0001384252,0.0002713638,0.00003408486,0.0004225522,0.00001719095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000209403,"about_ca_system_score_gemma":0.0002710558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005289663,"about_ca_topic_score_gemma":0.000003499455,"domain_scores_codex":[0.9989986,0.00007178081,0.0005456101,0.0001137175,0.00007474184,0.000195481],"domain_scores_gemma":[0.9985697,0.0002418747,0.0006960775,0.0002105611,0.0001351576,0.0001465779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001197135,0.0001815916,0.01953861,0.00000449297,0.0001023646,5.554256e-7,0.0002403151,0.003413406,0.003237093,0.9670202,0.0008664675,0.005382923],"study_design_scores_gemma":[0.001667093,0.0002160721,0.01006441,0.00002276618,0.00003760434,0.000005162774,0.0006762702,0.0419365,0.0005518825,0.9374277,0.007237815,0.0001567112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500539,0.00001282724,0.02817193,0.0004476144,0.0006483177,0.00004776262,0.00004745073,0.000005178691,0.02056498],"genre_scores_gemma":[0.9971962,0.000002405635,0.001822587,0.000192017,0.0004217767,0.000001655368,0.000002779112,0.00001238378,0.0003482077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04714225,"threshold_uncertainty_score":0.4884211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742477302930443,"score_gpt":0.2650296867531564,"score_spread":0.247604913723852,"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."}}