{"id":"W3123192308","doi":"10.17645/pag.v9i1.3684","title":"Managing Disintegration: How the European Parliament Responded and Adapted to Brexit","year":2021,"lang":"en","type":"article","venue":"Politics and Governance","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"Economic and Social Research Council","keywords":"Brexit; Parliament; Negotiation; Delegation; Member state; Political science; Politics; Legislature; Political economy; Member states; State (computer science); European union; Economics; International economics; Law","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":[0.0004040414,0.00009119078,0.00008837611,0.000008806598,0.0004985038,0.0003184777,0.0001410116,0.00001754944,0.00001404748],"category_scores_gemma":[0.0003668395,0.00007280784,0.00002376514,0.0001489002,0.0001750917,0.0001113416,0.0001120773,0.00009911518,0.0000107341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006112782,"about_ca_system_score_gemma":0.00008552598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985098,"about_ca_topic_score_gemma":0.002470985,"domain_scores_codex":[0.9989013,0.0002635469,0.0001023972,0.0002145756,0.0002501202,0.0002680333],"domain_scores_gemma":[0.9994233,0.0000949142,0.00007536053,0.0001892477,0.00006531865,0.0001518148],"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":[0.000003581365,0.000009137862,0.00025208,0.000005980176,0.000006009806,0.00002565007,0.004137209,0.000002862215,0.00005934315,0.987067,0.001979832,0.006451293],"study_design_scores_gemma":[0.0001849677,0.00001719675,0.1072382,0.00008239266,0.000007953644,0.000006093427,0.001547366,0.00001109673,0.0001688035,0.01008585,0.8805259,0.0001241301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1227124,0.004077832,0.001459218,0.3108505,0.0003870433,0.0002775665,0.0001501541,0.00006897393,0.5600164],"genre_scores_gemma":[0.9572898,0.002116423,0.0002250066,0.005079285,0.0002741395,0.000002281639,0.000001238537,0.00001152199,0.03500034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9769812,"threshold_uncertainty_score":0.3834139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973307665232974,"score_gpt":0.2774859456035571,"score_spread":0.2477528689512274,"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."}}