{"id":"W2886159603","doi":"","title":"Brexit, Democracy, and Human Rights: The Law Between Secession and Treaty Withdrawal","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brexit; Political science; Treaty; Law; European union; Referendum; Treaty of Lisbon; Human rights; Democracy; Legal certainty; European Union law; Law and economics; Sociology; Economics; Politics; International trade","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":[0.009526161,0.0005060782,0.0006361436,0.001083535,0.01052159,0.0172749,0.001572512,0.01169617,0.006905224],"category_scores_gemma":[0.01510974,0.0004614633,0.0007310034,0.001962703,0.07543204,0.01356831,0.009068422,0.01267521,0.0007928968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01667829,"about_ca_system_score_gemma":0.01272665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04671722,"about_ca_topic_score_gemma":0.03806984,"domain_scores_codex":[0.9839828,0.009862854,0.0005203541,0.001339123,0.002072765,0.002222096],"domain_scores_gemma":[0.992959,0.005202288,0.0006587547,0.000479623,0.0004567014,0.0002436661],"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":[0.000004115057,0.000003048922,0.00005830501,0.000009945546,0.000001155136,0.00005402689,0.002233499,0.00003671606,0.00001512625,0.9955973,0.001045579,0.0009411111],"study_design_scores_gemma":[0.00003650805,0.000031213,0.0008116511,0.0004331374,0.0000107491,0.0002333328,0.006860262,0.0002918421,0.0001586163,0.8613011,0.1297888,0.00004280024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04144486,0.01459552,0.01968664,0.1083497,0.00110894,0.00008710574,0.00006697937,0.0000592621,0.8146008],"genre_scores_gemma":[0.9176675,0.004027278,0.002076738,0.0182496,0.000852115,0.0001580112,0.00003991439,0.00008232109,0.05684653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04671722,"threshold_uncertainty_score":0.12101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207300154538807,"score_gpt":0.3067845358596002,"score_spread":0.2947115343142121,"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."}}