{"id":"W7161281364","doi":"10.7202/1125046ar","title":"Incalculable Harm: Analyzing the Impact of the COVID-19 Pandemic on Immigration Detention in Canada","year":2024,"lang":"fr","type":"article","venue":"Ottawa Law Review","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration detention; Pandemic; Immigration; Dehumanization; Agency (philosophy); Mental health; Racism; Refugee","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":[0.001958532,0.0004104178,0.000497213,0.003174206,0.007739306,0.003992644,0.002279721,0.001006966,0.00390939],"category_scores_gemma":[0.01061637,0.0002944991,0.001008937,0.006791389,0.003294155,0.001436245,0.004126074,0.003488854,0.000258558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1284289,"about_ca_system_score_gemma":0.176171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977905,"about_ca_topic_score_gemma":0.9988511,"domain_scores_codex":[0.9954994,0.0003879163,0.0001031128,0.0002037892,0.001490518,0.002315216],"domain_scores_gemma":[0.9892178,0.001182529,0.001405735,0.0002468749,0.005286321,0.002660773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001934957,0.0001638117,0.9182543,0.0002840716,0.0001912551,0.0005322844,0.01714792,0.002307873,0.0001818578,0.008015333,0.01873532,0.03399257],"study_design_scores_gemma":[0.00001516044,0.00007635559,0.9019543,0.000414834,0.0001206373,0.0001106358,0.07569492,0.002499186,0.0002096662,0.000938142,0.01787876,0.00008736304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513724,0.002564694,0.0004864477,0.01380531,0.0001301303,0.0001750956,0.005598643,0.00002537252,0.0258419],"genre_scores_gemma":[0.9910177,0.002056138,0.000373066,0.00165066,0.00003068972,0.00003741197,0.001471486,0.00002279903,0.003340155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1284289,"threshold_uncertainty_score":0.9318212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310444225365894,"score_gpt":0.3605109815044349,"score_spread":0.3174065392507759,"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."}}