{"id":"W2120229972","doi":"10.1016/j.mcm.2008.05.042","title":"Coordination and turnout in large elections","year":2008,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Turnout; Voting; Polling; Noise (video); Political science; Economics; Politics; Econometrics; Microeconomics; Demographic economics; Public economics; 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":[0.0002094762,0.00004256004,0.0000921717,0.0000316908,0.000241634,0.00002878447,0.00002182267,0.00004142291,0.00001189902],"category_scores_gemma":[0.00001124981,0.00003732622,0.00001166194,0.00008322124,0.00005545295,0.00008656408,0.00001237851,0.00005880079,0.000006597108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001569777,"about_ca_system_score_gemma":0.00001185406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004497891,"about_ca_topic_score_gemma":0.0002192067,"domain_scores_codex":[0.9994626,0.00005327257,0.0001274674,0.00009199224,0.00009145882,0.0001732118],"domain_scores_gemma":[0.9997677,0.00009188009,0.00001511206,0.0000303441,0.00002279901,0.00007216041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001705839,0.00006335737,0.006313319,0.0000242481,0.000002607498,0.000002072131,0.006173934,0.0003794483,0.000006519555,0.9865357,0.00004162676,0.0004554414],"study_design_scores_gemma":[0.0001265965,0.00002035526,0.001141059,0.00003114147,0.000002846177,0.000004343704,0.00004869218,0.8907115,0.000005197905,0.1072723,0.0005702875,0.00006561699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6493788,0.00003544094,0.3489653,0.0004890964,0.00001992289,0.00007010309,3.042428e-7,0.00001905958,0.001021946],"genre_scores_gemma":[0.9976422,0.00001124351,0.001886662,0.00005119964,0.0001024237,0.000007138801,5.338352e-7,0.00000275978,0.000295823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8903321,"threshold_uncertainty_score":0.1858478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06051769851499957,"score_gpt":0.3050491921742839,"score_spread":0.2445314936592844,"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."}}