{"id":"W2942137218","doi":"10.25384/sage.c.4479734.v2","title":"Building impartial electoral management? Institutional design, independence and electoral integrity","year":2019,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Political Conflict and Governance","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Independence (probability theory); Law and economics; Political science; Business; Public relations; Public administration; Public economics; Political economy; Economics","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":[0.006191801,0.0001308101,0.0003555896,0.002782776,0.001905433,0.005986978,0.0007322032,0.0005947086,0.006307475],"category_scores_gemma":[0.01844308,0.0002575206,0.0002401421,0.003604586,0.008830708,0.004026339,0.003805049,0.0009359006,0.0008400836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178635,"about_ca_system_score_gemma":0.002313194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005216826,"about_ca_topic_score_gemma":0.008313934,"domain_scores_codex":[0.9937844,0.003385337,0.0004934989,0.000464612,0.0006125357,0.001259638],"domain_scores_gemma":[0.9849658,0.003827867,0.005105156,0.003148058,0.001440065,0.001513015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002116475,0.000219444,0.4144422,0.0003480757,0.0001713157,0.0003829654,0.02176565,0.004393382,0.0009056405,0.362453,0.004264467,0.1904422],"study_design_scores_gemma":[0.00005433824,0.000207455,0.782065,0.0005450492,0.00007459668,0.0003377584,0.04632825,0.002114149,0.001157262,0.08792853,0.07910246,0.00008519867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8748093,0.0009223858,0.00895892,0.004333358,0.00003690846,0.00007516389,0.0003956749,0.00005447958,0.1104138],"genre_scores_gemma":[0.9979683,0.00009464597,0.0007490687,0.00007991125,0.00001151151,0.00001410805,0.00008636718,0.000005929895,0.0009901961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006307475,"threshold_uncertainty_score":0.03274578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062466007035823,"score_gpt":0.3948216256914128,"score_spread":0.2885750249878304,"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."}}