{"id":"W3121764826","doi":"10.17645/pag.v9i1.3982","title":"Assessing What Brexit Means for Europe: Implications for EU Institutions and Actors","year":2021,"lang":"en","type":"article","venue":"Politics and Governance","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"Economic and Social Research Council","keywords":"Brexit; Referendum; European union; Political science; Parliament; General partnership; Resilience (materials science); Political economy; Public administration; International trade; Business; Politics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01924124,0.0003500456,0.0005968229,0.002540984,0.002375946,0.01603121,0.0009807382,0.003896747,0.003830312],"category_scores_gemma":[0.03030737,0.0002153256,0.0006231278,0.005158488,0.01281705,0.01669884,0.008047442,0.00337957,0.0003039945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006016905,"about_ca_system_score_gemma":0.00521318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004602876,"about_ca_topic_score_gemma":0.004064105,"domain_scores_codex":[0.9901709,0.005462934,0.0007532804,0.0009163754,0.001185946,0.001510613],"domain_scores_gemma":[0.9825897,0.01123166,0.00243759,0.001145596,0.001734531,0.0008610002],"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":[0.0001647611,0.00007248561,0.02901092,0.0008247793,0.0001234897,0.0007735832,0.05180713,0.002669297,0.0004896842,0.8591723,0.008273728,0.04661781],"study_design_scores_gemma":[0.00003214001,0.0002107408,0.1173526,0.005820551,0.00007682756,0.0004883055,0.2189233,0.001609363,0.001630399,0.4186743,0.235015,0.0001665169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6409441,0.03415795,0.009391954,0.1360791,0.001296459,0.00008024593,0.0006075939,0.00005366156,0.177389],"genre_scores_gemma":[0.9835294,0.007693477,0.001328461,0.004525717,0.0001407964,0.0000392797,0.0002390071,0.00004271309,0.002461083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01924124,"threshold_uncertainty_score":0.1017587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011402844121314,"score_gpt":0.3872912661862291,"score_spread":0.2861509817740976,"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."}}