{"id":"W7132898398","doi":"","title":"Federal electoral district inequality, the Saskatchewan Reference and Mixed Member Proportional representation (MMP)","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proportional representation; Disadvantaged; Representation (politics); Electoral geography; Democracy; Mandate; Government (linguistics); Ideology; Supreme court","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":[0.003224337,0.0001905361,0.0003046516,0.00114084,0.009181115,0.006659443,0.001301839,0.001042668,0.009789763],"category_scores_gemma":[0.010629,0.0002497575,0.0002867874,0.00299735,0.004142005,0.001542464,0.003926527,0.002363984,0.0004423091],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03243705,"about_ca_system_score_gemma":0.04890303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8838118,"about_ca_topic_score_gemma":0.968509,"domain_scores_codex":[0.9958621,0.0009847964,0.0001009586,0.0004489969,0.001226152,0.001377085],"domain_scores_gemma":[0.9969171,0.000940379,0.0002108087,0.0003200248,0.001061205,0.0005504417],"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":[0.000051005,0.00001530411,0.01102667,0.00003493018,0.00001630762,0.00008471702,0.003595728,0.0003982082,0.0001604983,0.9175187,0.02859136,0.0385065],"study_design_scores_gemma":[0.00009135104,0.0001194013,0.1769192,0.0005720158,0.0001312112,0.0002297027,0.02170405,0.002603937,0.001689074,0.2017287,0.594061,0.0001504419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2519688,0.002342877,0.005044939,0.07366092,0.0007253965,0.0001484131,0.001601966,0.00006920398,0.6644375],"genre_scores_gemma":[0.9173476,0.0007248899,0.001694291,0.006673097,0.00006525608,0.00009113933,0.0002800332,0.00002310465,0.0731006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.967563,"threshold_uncertainty_score":0.2353484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06846305031819197,"score_gpt":0.4264227198576515,"score_spread":0.3579596695394595,"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."}}