{"id":"W2754747484","doi":"","title":"Política comercial después del Brexit","year":2017,"lang":"es","type":"article","venue":"Política exterior","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Brexit; Referendum; Humanities; European union; Philosophy; Politics; Economics; International trade; Law","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":[0.002270623,0.0003132128,0.0002727297,0.0008285986,0.007891533,0.01072844,0.0007708123,0.004720002,0.01405767],"category_scores_gemma":[0.002617069,0.0002842571,0.0003627233,0.001361944,0.008006955,0.003842551,0.004264608,0.005769881,0.00181215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01294322,"about_ca_system_score_gemma":0.01080668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07647149,"about_ca_topic_score_gemma":0.1075419,"domain_scores_codex":[0.996645,0.0008019903,0.00007299709,0.0004289477,0.0009354646,0.001115494],"domain_scores_gemma":[0.9991341,0.0001817285,0.0001034966,0.00006968783,0.0002371575,0.0002738539],"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":[0.0000280181,0.00001877659,0.001337211,0.00004582022,0.000007446401,0.0003385451,0.006850689,0.000163238,0.0005355555,0.9556133,0.02494207,0.01011932],"study_design_scores_gemma":[0.00001292817,0.00002776712,0.007493127,0.0001773967,0.00001167882,0.000151584,0.009406808,0.0002424649,0.000440374,0.04169406,0.9403104,0.00003146348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06317493,0.007714211,0.001592185,0.1450211,0.001163552,0.00003435601,0.00008924079,0.00008234956,0.7811281],"genre_scores_gemma":[0.5440762,0.00466337,0.0005741585,0.02580749,0.0003369402,0.0000471325,0.0001008336,0.00007185449,0.424322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07647149,"threshold_uncertainty_score":0.1520528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504222076953239,"score_gpt":0.3923762200167087,"score_spread":0.3473339992471763,"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."}}