{"id":"W1159627648","doi":"10.71781/2355","title":"Statutory, judicial, and administrative stays in immigration matters","year":2010,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Justice","keywords":"Statutory law; Immigration; Administrative law; Political science; Judicial review; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006811871,0.0001340543,0.0001779724,0.0001109037,0.0003037665,0.0004956805,0.0002722372,0.0002173132,0.0009400689],"category_scores_gemma":[0.0001311335,0.0001445849,0.00001887027,0.0001293088,0.00009489326,0.0005647279,0.00003301601,0.0004101953,0.0001744301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005411395,"about_ca_system_score_gemma":0.0004726654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01085648,"about_ca_topic_score_gemma":0.4088777,"domain_scores_codex":[0.9988397,0.0001835117,0.0002304387,0.0003411694,0.0002201447,0.0001849855],"domain_scores_gemma":[0.9994671,0.00006458064,0.0001972303,0.0001255521,0.00006782978,0.00007770307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008282627,0.0001983856,0.0002730292,0.0001297008,0.000036405,0.0001131113,0.262751,6.345556e-7,0.00665448,0.001483964,0.00620596,0.721325],"study_design_scores_gemma":[0.0003713429,0.0002031242,0.005736534,0.0002682952,0.0001235686,0.000001352575,0.3378931,0.000006278055,0.001927128,0.0003125769,0.6526969,0.0004598059],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8582802,0.00009955856,0.00001679729,0.0007773135,0.0008159026,0.00106435,0.0001102705,0.000003151871,0.1388325],"genre_scores_gemma":[0.9283606,0.001480147,0.004574011,0.0005742892,0.001034433,0.0001659171,0.004904199,0.00009196156,0.05881437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7208652,"threshold_uncertainty_score":0.9999732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0764337765471456,"score_gpt":0.4105947082196545,"score_spread":0.3341609316725089,"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."}}