{"id":"W4417416355","doi":"10.1057/s41293-025-00294-5","title":"Brexit and the changing geography of conservative party support in England, 2015–2019","year":2025,"lang":"en","type":"article","venue":"British Politics","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Brexit; Politics; Comparative politics; Realigning election; General election; Regionalism (politics); Human geography; Parliament","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005646349,0.00005858265,0.0001902603,0.00009867998,0.000305318,0.00005222514,0.00009759874,0.00005206107,0.00002721787],"category_scores_gemma":[0.000336029,0.00005692341,0.000044837,0.0003517899,0.001017909,0.00007493357,0.00005398945,0.00007617552,0.000001546636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000247678,"about_ca_system_score_gemma":0.0001715071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02546193,"about_ca_topic_score_gemma":0.01092449,"domain_scores_codex":[0.9991148,0.0001376871,0.0001977351,0.0001132623,0.0001531098,0.0002834298],"domain_scores_gemma":[0.9992324,0.0004709431,0.00005839887,0.00007238785,0.0001285301,0.00003731393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001031855,0.0000376199,0.5266905,0.00003315061,0.00005835713,0.000007422265,0.03842739,9.155489e-7,4.469794e-7,0.4291047,0.004118722,0.001510362],"study_design_scores_gemma":[0.005409116,0.00004158069,0.6400399,0.0003047886,0.00007532111,0.000006063653,0.03340648,0.00003975402,0.00004406558,0.1288929,0.1914733,0.0002667067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.877002,0.004777735,0.0001659128,0.01126522,0.0004774344,0.0006388656,0.0002020032,0.00005173004,0.1054191],"genre_scores_gemma":[0.9945314,0.001218591,0.00004186781,0.0009465723,0.00007171476,0.00001538105,0.000005172237,0.000003291153,0.00316599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3002118,"threshold_uncertainty_score":0.9810276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422718918955769,"score_gpt":0.2907773365036719,"score_spread":0.2765501473141143,"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."}}