{"id":"W7096686713","doi":"","title":"Article Representation at the margins: The impact of governing parties on","year":2010,"lang":"en","type":"article","venue":"","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Government (linguistics); Public policy; Government spending; Government expenditure; Policy making","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001966121,0.0001235969,0.0003695794,0.0005183655,0.001807604,0.003341647,0.0005183766,0.0005033675,0.01635612],"category_scores_gemma":[0.02158265,0.00007574698,0.0002750417,0.001056156,0.001586238,0.001431313,0.002013314,0.0007738504,0.001012271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004962787,"about_ca_system_score_gemma":0.004940823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2179758,"about_ca_topic_score_gemma":0.3206381,"domain_scores_codex":[0.9966697,0.0009115412,0.00009813991,0.0002617966,0.0008969427,0.001161864],"domain_scores_gemma":[0.9908728,0.004443416,0.002279624,0.0004261867,0.00106559,0.0009123795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001069859,0.0004644776,0.6850798,0.0001816073,0.0002401039,0.0005804871,0.007190376,0.01049753,0.002801748,0.1289113,0.008072628,0.1549101],"study_design_scores_gemma":[0.00006329981,0.0002810181,0.919565,0.0001228899,0.0002044565,0.0001147722,0.01017216,0.006107633,0.00321108,0.01993752,0.04018399,0.00003627069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000976,0.0004677914,0.001186551,0.001735254,0.00004798286,0.00002717008,0.0002507956,0.00002342654,0.09616341],"genre_scores_gemma":[0.9948133,0.00007590865,0.00006345036,0.00004875321,0.0000125256,0.000003077591,0.00005694716,0.000005401279,0.004920586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2179758,"threshold_uncertainty_score":0.433414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06546402837982102,"score_gpt":0.4160216854426613,"score_spread":0.3505576570628403,"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."}}