{"id":"W2130585083","doi":"10.24124/c677/20151203","title":"Rural, Suburban and Urban Voters: Dissecting Residence Based Voter Cleavages in Provincial Elections","year":2015,"lang":"en","type":"article","venue":"Canadian Political Science Review","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Wilfrid Laurier University","funders":"","keywords":"Residence; Politics; Geography; Rural area; Division (mathematics); Political science; Economic growth; Economic geography; Sociology; Demography; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003027061,0.0001154519,0.0002257145,0.0001877523,0.0005211624,0.0001953559,0.0002570265,0.00007435668,0.0000466056],"category_scores_gemma":[0.008870155,0.0001042106,0.0000357343,0.001219886,0.001032851,0.0004783787,0.00001959421,0.0001809576,0.00003758308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872322,"about_ca_system_score_gemma":0.005136795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7411686,"about_ca_topic_score_gemma":0.7991375,"domain_scores_codex":[0.9967555,0.0003093073,0.000318617,0.0002916335,0.0004951157,0.001829812],"domain_scores_gemma":[0.9958188,0.0001554152,0.00004295053,0.000168323,0.000288123,0.003526408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002611119,0.00002263309,0.2143532,0.000235241,0.00000151838,0.00001687255,0.0006831136,6.4914e-7,0.00004570551,0.7771242,0.005059131,0.00245508],"study_design_scores_gemma":[0.0011744,0.000842814,0.6862254,0.01604966,0.0001781803,0.00004119735,0.004634717,0.001321139,0.0005066103,0.1053127,0.1808863,0.002826929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7153684,0.008650134,0.00008210798,0.2267099,0.001001646,0.002456967,0.00003496728,0.000148269,0.04554755],"genre_scores_gemma":[0.9966431,0.00005359236,0.00004069719,0.002726072,0.0002951117,0.00003561198,0.000001449055,0.00000661349,0.0001977433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6718115,"threshold_uncertainty_score":0.9994786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06372603065386742,"score_gpt":0.3723056125782129,"score_spread":0.3085795819243455,"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."}}