{"id":"W318490112","doi":"10.22329/wyaj.v28i2.4501","title":"Agency Design in the European Union","year":2010,"lang":"en","type":"article","venue":"Windsor Yearbook of Access to Justice","topic":"European and International Law Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Independence (probability theory); European union; Accountability; Position (finance); Political science; Through-the-lens metering; State (computer science); Law and economics; Public administration; Member state; Member states; Law; Business; Lens (geology); Economics; Sociology; Engineering; International trade; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01724826,0.0005500729,0.0007835261,0.00287333,0.006791064,0.0206962,0.001257726,0.005777293,0.007266011],"category_scores_gemma":[0.01214645,0.0005370511,0.0008907104,0.00407626,0.02780421,0.01056122,0.007438107,0.002871795,0.001007627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01326229,"about_ca_system_score_gemma":0.006775345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006773077,"about_ca_topic_score_gemma":0.002833504,"domain_scores_codex":[0.9616569,0.02808485,0.001782332,0.003036359,0.00328472,0.002154888],"domain_scores_gemma":[0.9940094,0.003395336,0.0005524093,0.0009008994,0.000779366,0.0003626484],"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":[0.000002755316,0.000002737348,0.00006522715,0.000013352,0.000002295063,0.00001617143,0.0008149515,0.0001957876,0.000007099688,0.9949019,0.0005861283,0.003391636],"study_design_scores_gemma":[0.0000158345,0.00003191655,0.0004307298,0.000249844,0.00001192655,0.0001537942,0.002593753,0.0006861681,0.0001055073,0.7341028,0.2615977,0.00002004308],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02227718,0.02084023,0.06709076,0.01348449,0.0005941787,0.0001007023,0.00006365273,0.0001172987,0.8754314],"genre_scores_gemma":[0.9104762,0.008629476,0.02447767,0.002674394,0.0003193191,0.0003705562,0.00007837813,0.00008348769,0.05289054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0206962,"threshold_uncertainty_score":0.09622514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07207854166794878,"score_gpt":0.348185847833609,"score_spread":0.2761073061656603,"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."}}