{"id":"W3015893541","doi":"10.1177/0032321719895428","title":"Electoral Systems and Policy Congruence","year":2020,"lang":"en","type":"article","venue":"Political Studies","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Congruence (geometry); Legislature; Representation (politics); Proportional representation; Elite; Public policy; Government (linguistics); Political science; Survey data collection; Public economics; Public administration; Economics; Politics; Social psychology; Psychology; Democracy; Law; Mathematics","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":[0.005747428,0.0001613786,0.0003587573,0.002663411,0.001671741,0.003484113,0.000420104,0.0004311304,0.007044678],"category_scores_gemma":[0.03100024,0.0001433652,0.0002320499,0.004217835,0.00232027,0.001831104,0.003687921,0.0006713246,0.0004611496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101296,"about_ca_system_score_gemma":0.0007158949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265729,"about_ca_topic_score_gemma":0.001256485,"domain_scores_codex":[0.9924796,0.004521357,0.0006176587,0.0006600316,0.0009336182,0.0007877314],"domain_scores_gemma":[0.9870588,0.005974408,0.003964476,0.00117019,0.0009259775,0.0009061514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004749011,0.0002458221,0.7055271,0.0002864194,0.0001660067,0.000250089,0.02983377,0.001957855,0.001413464,0.1555777,0.001269611,0.1029973],"study_design_scores_gemma":[0.00006173264,0.0003315764,0.8425509,0.0002243535,0.00004726173,0.0003977907,0.03604779,0.002120279,0.0009017033,0.08363385,0.03363336,0.00004927602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519148,0.0004898539,0.002845317,0.000843371,0.00003374308,0.00004118814,0.0001684154,0.00001652064,0.04364676],"genre_scores_gemma":[0.9992247,0.00008322544,0.000176641,0.0000230231,0.00001371091,0.000007905831,0.00005941124,0.000002995371,0.0004084085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007044678,"threshold_uncertainty_score":0.03039563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1517044546874767,"score_gpt":0.4351668922640535,"score_spread":0.2834624375765768,"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."}}