{"id":"W3160729184","doi":"10.18778/0208-6069.94.07","title":"The Centre–Periphery Antagonism in Adjudication: A Case Study on the Spatial Dimension of the Political","year":2021,"lang":"en","type":"article","venue":"Acta Universitatis Lodziensis Folia Iuridica","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adjudication; Politics; Antagonism; Jurisprudence; Political science; Sociology; Law and economics; 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":[0.02086974,0.0005707701,0.001028661,0.002112663,0.03062285,0.01344025,0.002502695,0.01179331,0.003007577],"category_scores_gemma":[0.01900151,0.0007567767,0.0009703393,0.004386081,0.03222322,0.01058015,0.01152889,0.0115002,0.0004739869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0100706,"about_ca_system_score_gemma":0.004868108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235626,"about_ca_topic_score_gemma":0.02008412,"domain_scores_codex":[0.9666344,0.02695944,0.0006114087,0.001073384,0.002316322,0.002405051],"domain_scores_gemma":[0.9754272,0.0214689,0.0009133124,0.0007537749,0.0008235532,0.0006132742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008591589,0.0001480055,0.002931933,0.0001849139,0.00001672274,0.01779251,0.1749894,0.0009358169,0.0004961723,0.7898468,0.004373036,0.008198707],"study_design_scores_gemma":[0.0001418083,0.0002777198,0.005923703,0.001503049,0.00008306056,0.01320205,0.5004092,0.004717737,0.002444392,0.1996159,0.2715191,0.0001622711],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6421138,0.007977479,0.03199335,0.04367808,0.0005391036,0.000551033,0.0001061954,0.00004210899,0.2729988],"genre_scores_gemma":[0.9821476,0.001677657,0.005491502,0.00236037,0.0001217604,0.0002113143,0.00002045877,0.00002884406,0.007940501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03062285,"threshold_uncertainty_score":0.1103711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006088453581065,"score_gpt":0.27243187362048,"score_spread":0.2523709890846693,"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."}}