{"id":"W4411647704","doi":"10.32920/29382665","title":"Vulnerability of Asylum Seekers and Undocumented Migrants in Toronto","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Vulnerability (computing); Immigration; Political science; Sociology; Criminology; Geography; Demographic economics; Computer security; Computer science; Law; Economics","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":[0.001006927,0.0004418631,0.0005072482,0.001144804,0.01664907,0.004032089,0.001186851,0.0008942866,0.003881264],"category_scores_gemma":[0.002812102,0.0004333169,0.0003822435,0.002150548,0.006041322,0.001396312,0.008298152,0.001611178,0.0001704317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05165369,"about_ca_system_score_gemma":0.04524134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9585079,"about_ca_topic_score_gemma":0.9825774,"domain_scores_codex":[0.9985178,0.0003074539,0.00005326097,0.0001048083,0.0001785295,0.0008381537],"domain_scores_gemma":[0.9983656,0.0002398049,0.0002778916,0.0000575384,0.0002775706,0.0007816931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008301751,0.00002829951,0.08085054,0.000122642,0.00001914895,0.001787256,0.9048006,0.00009230905,0.0004500648,0.002413769,0.002487446,0.006864921],"study_design_scores_gemma":[0.000002244976,0.0000206367,0.05318039,0.0001075344,0.000006814261,0.000128787,0.9425604,0.00004124922,0.00005673195,0.0001158498,0.003764801,0.00001455485],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948521,0.0004985615,0.0000267274,0.001454246,0.00002079481,0.00001660346,0.0001157495,0.000002765157,0.003012615],"genre_scores_gemma":[0.9972287,0.0006344706,0.00004636597,0.0002075689,0.000004185004,0.00001628769,0.00007084329,0.000004000087,0.001787537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05165369,"threshold_uncertainty_score":0.3747755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492553262512437,"score_gpt":0.3573936743090162,"score_spread":0.3424681416838918,"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."}}