{"id":"W7133463999","doi":"","title":"Incalculable Harm: Analyzing the Impact of the COVID-19 Pandemic on Immigration Detention in Canada","year":2025,"lang":"","type":"article","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Immigration detention; Pandemic; Immigration; Agency (philosophy); Dehumanization; Mental health; Racism","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":[0.001942358,0.0004088063,0.000500662,0.003162733,0.007625802,0.003973413,0.002249359,0.0009983187,0.003951855],"category_scores_gemma":[0.01051024,0.0002908541,0.001000309,0.006740203,0.003226311,0.001414146,0.004094563,0.00347873,0.0002598584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1281473,"about_ca_system_score_gemma":0.1757767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99777,"about_ca_topic_score_gemma":0.9988468,"domain_scores_codex":[0.9955881,0.0003809994,0.0001008939,0.0001992603,0.001448333,0.002282509],"domain_scores_gemma":[0.9893856,0.001163631,0.001379821,0.0002431676,0.00520113,0.002626676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001927432,0.0001629765,0.9178727,0.0002874503,0.0001932672,0.0005373953,0.0166466,0.002334022,0.0001803699,0.007989935,0.01879581,0.03480687],"study_design_scores_gemma":[0.00001517625,0.00007636251,0.9022003,0.0004266838,0.0001219336,0.0001130587,0.07507288,0.002514339,0.000213271,0.0009600442,0.01819881,0.00008714055],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502749,0.002656759,0.0005080533,0.014326,0.000133239,0.0001774538,0.005841317,0.00002636554,0.02605607],"genre_scores_gemma":[0.9909205,0.002094329,0.0003889457,0.001677549,0.00003137198,0.00003726299,0.001491115,0.00002325853,0.003335584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1281473,"threshold_uncertainty_score":0.929778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849686908587108,"score_gpt":0.3428271474891267,"score_spread":0.3143302784032556,"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."}}