{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00905218,0.0001849381,0.0003094097,0.001622043,0.01740904,0.006154106,0.001314424,0.003922371,0.01174338],"category_scores_gemma":[0.02816805,0.000437026,0.0005094063,0.002196599,0.00622448,0.0029363,0.005817458,0.005480106,0.001315154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008555147,"about_ca_system_score_gemma":0.0223359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07194377,"about_ca_topic_score_gemma":0.1389904,"domain_scores_codex":[0.98678,0.00420235,0.001025346,0.0007695981,0.002150489,0.005072283],"domain_scores_gemma":[0.9820073,0.008341935,0.002680299,0.001146995,0.002430429,0.003393063],"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":[0.0001642425,0.0002126323,0.05646683,0.0002138692,0.00003547337,0.002663537,0.06192721,0.0004793608,0.001047294,0.708164,0.1005744,0.06805123],"study_design_scores_gemma":[0.0000649526,0.0002072681,0.180679,0.001345757,0.00006912282,0.001330197,0.08813044,0.0008031142,0.0009586066,0.04106565,0.6851798,0.0001661124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4443693,0.01079972,0.001922994,0.1149546,0.00336,0.0001302591,0.0004398088,0.00006195162,0.4239613],"genre_scores_gemma":[0.9010547,0.002830076,0.0005235152,0.02802551,0.001067092,0.0001205097,0.0002506684,0.00005034964,0.06607762],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07194377,"threshold_uncertainty_score":0.14305,"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."}}