{"id":"W2973107814","doi":"10.5553/plc/258999292019001003002","title":"How to Improve Local Turnout","year":2019,"lang":"en","type":"article","venue":"Politics of the Low Countries","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Turnout; Political science; Business; Politics; Law; Voting","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":[0.006604469,0.0004262786,0.0005709754,0.001482201,0.001374244,0.002417645,0.0009442065,0.0006453819,0.01725641],"category_scores_gemma":[0.02086708,0.0001875299,0.0005600412,0.001790506,0.0009524526,0.00176723,0.002795759,0.001179257,0.003263975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002909059,"about_ca_system_score_gemma":0.004358774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599525,"about_ca_topic_score_gemma":0.03529399,"domain_scores_codex":[0.9945319,0.003069702,0.0001542175,0.0004651296,0.000530097,0.00124896],"domain_scores_gemma":[0.9893543,0.002857367,0.001614386,0.001055517,0.001625948,0.003492566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004119071,0.001835163,0.1695598,0.003119799,0.0005969648,0.0004935819,0.01454146,0.006294234,0.005814654,0.01713167,0.1056716,0.6745292],"study_design_scores_gemma":[0.0002799482,0.001623613,0.5976242,0.002224164,0.0005179365,0.0002450142,0.02438136,0.002781273,0.003461139,0.008826632,0.3579268,0.0001079588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7288926,0.01003945,0.01655104,0.06485814,0.001176135,0.0006657859,0.001159765,0.001809043,0.1748481],"genre_scores_gemma":[0.9764336,0.001901624,0.005286444,0.003416221,0.0002659897,0.0002338681,0.0004083294,0.0001872732,0.01186671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01725641,"threshold_uncertainty_score":0.05772841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131779052920017,"score_gpt":0.2969098054840526,"score_spread":0.2855920149548524,"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."}}