{"id":"W2771202130","doi":"10.1093/oxfordhb/9780190258658.013.34","title":"Electoral Systems in Context","year":2017,"lang":"en","type":"reference-entry","venue":"","topic":"Asian Studies and History","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Electoral system; Proportional representation; Indonesian; Representation (politics); Politics; Context (archaeology); Political science; Political economy; Power (physics); Electoral geography; Face (sociological concept); Electoral reform; Economic system; Sociology; Economics; Law; Democracy; Geography; Social science","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":[0.001089221,0.0002558232,0.0003639224,0.002429262,0.005015714,0.007594109,0.0006031768,0.0006373957,0.02152172],"category_scores_gemma":[0.002639101,0.0001973377,0.0001940754,0.003287828,0.008110453,0.004003291,0.0045851,0.001671256,0.001859008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004226363,"about_ca_system_score_gemma":0.001614214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005140365,"about_ca_topic_score_gemma":0.006656958,"domain_scores_codex":[0.9980538,0.0009852417,0.00009112636,0.0003441015,0.0002177192,0.0003079662],"domain_scores_gemma":[0.9992312,0.0002367959,0.0001248421,0.0001327923,0.0001165164,0.0001578079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007754703,0.000007510742,0.001357876,0.0000302758,0.000003115485,0.0000603487,0.004132587,0.0002044672,0.00004006361,0.98303,0.001979463,0.009146489],"study_design_scores_gemma":[0.00001185593,0.00002649402,0.01482094,0.0002408927,0.000009795461,0.0002408957,0.01537429,0.0004280152,0.0001286427,0.3457217,0.622977,0.00001942333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06618045,0.00635665,0.002566084,0.005520608,0.0002806292,0.00003442595,0.0002961622,0.00005198059,0.918713],"genre_scores_gemma":[0.9710568,0.002439785,0.001233084,0.0003710485,0.0002470573,0.0000491338,0.0002076728,0.00003914237,0.02435643],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02152172,"threshold_uncertainty_score":0.07199734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06063179444324962,"score_gpt":0.3296560004405046,"score_spread":0.269024205997255,"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."}}