{"id":"W4391658689","doi":"10.32920/25193465.v1","title":"Canada’s Alternative to Immigration Detention Program: A Soft-Law Instrument","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Immigration detention; Immigration; Refugee; Immigration law; Soft law; Agency (philosophy); Political science; Government (linguistics); Public administration; Law; Immigration reform; Immigration policy; Corporate governance; Business; Sociology; International law","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":[0.00675875,0.0003652759,0.0003307422,0.001880651,0.02090194,0.01247631,0.002551087,0.004423235,0.006442331],"category_scores_gemma":[0.01433915,0.0006531514,0.0005442654,0.002358051,0.011038,0.002417302,0.00676297,0.007998839,0.000397232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.125003,"about_ca_system_score_gemma":0.3156275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985911,"about_ca_topic_score_gemma":0.9943963,"domain_scores_codex":[0.9852273,0.001757177,0.0003503661,0.00103385,0.006408918,0.00522236],"domain_scores_gemma":[0.9897835,0.002228429,0.0005056413,0.0006640019,0.003219976,0.003598482],"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":[0.00008721262,0.0001897794,0.0187685,0.0001685667,0.00003322904,0.0008069488,0.01428075,0.001798623,0.001394997,0.833978,0.07336596,0.05512728],"study_design_scores_gemma":[0.0001695879,0.0001855341,0.08726621,0.0007544229,0.00008189666,0.000301375,0.02534768,0.005248312,0.001365648,0.03731213,0.8416341,0.0003330754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3059649,0.002189621,0.009943116,0.2208816,0.001048367,0.001095821,0.001743351,0.0003245299,0.4568088],"genre_scores_gemma":[0.8663521,0.00113939,0.00930306,0.03144585,0.0001607379,0.0002697226,0.000411268,0.00007180043,0.09084605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.125003,"threshold_uncertainty_score":0.9069641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236871207521989,"score_gpt":0.3188849758615997,"score_spread":0.2951978551094008,"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."}}