{"id":"W2546096680","doi":"10.1111/lapo.12062","title":"The Paradox of Docket Control: Empowering Judges, Frustrating Refugees","year":2016,"lang":"en","type":"article","venue":"Law & Policy","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Refugee; Law; German; Political science; Control (management); Constitutional court; Judicial review; Economics; Constitution","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":[0.02250734,0.0003205693,0.0005328608,0.001253387,0.01891138,0.01363644,0.001834099,0.00779488,0.0049746],"category_scores_gemma":[0.05276171,0.0007094892,0.0004001237,0.001073902,0.03564334,0.006997501,0.010298,0.01106324,0.000785163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00933355,"about_ca_system_score_gemma":0.01108889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02621134,"about_ca_topic_score_gemma":0.0380866,"domain_scores_codex":[0.9733322,0.01453903,0.0009882619,0.00229155,0.003615741,0.00523322],"domain_scores_gemma":[0.9756675,0.01562135,0.002179152,0.001128871,0.001634943,0.003768143],"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":[0.0001563635,0.0001326699,0.009707266,0.0002149174,0.00005127667,0.003849505,0.2571278,0.0007039857,0.00249842,0.6085873,0.07080093,0.04616957],"study_design_scores_gemma":[0.0003130713,0.0002103586,0.01306872,0.0008348257,0.00008255345,0.00222813,0.3582948,0.001538794,0.001550106,0.1753338,0.4462303,0.0003144927],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5086177,0.005247306,0.006921841,0.365151,0.001403372,0.00006432393,0.00005376767,0.0001295645,0.1124112],"genre_scores_gemma":[0.9764408,0.0007157609,0.0003837765,0.01713558,0.0003157561,0.00003010753,0.000008475034,0.00003856162,0.004931074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621134,"threshold_uncertainty_score":0.1190316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739250255270737,"score_gpt":0.3375086650642659,"score_spread":0.3201161625115586,"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."}}