{"id":"W4387246063","doi":"10.32920/24233101.v1","title":"As Good as it Gets? Security, Asylum, and the Rule of Law after the Certificate Trilogy","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Immigration Law and Human Rights","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Trilogy; Certificate; Principle of legality; Supreme court; Political science; Law; Law and economics; Nexus (standard); Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003196566,0.0002383687,0.000267324,0.0006614916,0.01910583,0.0103534,0.001331551,0.003218134,0.004295909],"category_scores_gemma":[0.008831075,0.0001799235,0.0002695925,0.0009978557,0.03003746,0.003112736,0.002634356,0.006324671,0.0003695333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07233724,"about_ca_system_score_gemma":0.1224785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9751433,"about_ca_topic_score_gemma":0.9788886,"domain_scores_codex":[0.9954194,0.0007319737,0.00006985039,0.0004281153,0.001289479,0.002061138],"domain_scores_gemma":[0.9976918,0.0007186792,0.0001777685,0.0001507264,0.0007793986,0.0004816781],"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":[0.0000130518,0.000007070997,0.001419934,0.00001633513,0.00000294322,0.0001224726,0.009983608,0.0002172806,0.0001113107,0.9600187,0.01780209,0.01028515],"study_design_scores_gemma":[0.00004203686,0.00004645288,0.01796311,0.0005218444,0.00005250825,0.0002080822,0.05373436,0.001783465,0.001485895,0.2785717,0.6454378,0.0001528356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1563135,0.006789021,0.006108097,0.3433851,0.001139424,0.00005953717,0.0003615476,0.0001217308,0.4857222],"genre_scores_gemma":[0.9451878,0.001370396,0.0009124221,0.009294102,0.00009900211,0.00001080902,0.0000412644,0.00002925043,0.04305489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9751433,"threshold_uncertainty_score":0.5248458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06673125998442891,"score_gpt":0.3330765059575456,"score_spread":0.2663452459731167,"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."}}