{"id":"W4411561913","doi":"10.51644/bcs012","title":"The Challenges of Accountability in AI for Immigration: The IRCC and Canadian AI Governance","year":2025,"lang":"en","type":"report","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Immigration; Corporate governance; Political science; Immigration detention; Public administration; Sociology; Business; Law","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":[0.03140267,0.0005124439,0.0004971047,0.00305045,0.03755008,0.02017408,0.003525105,0.00612571,0.008741049],"category_scores_gemma":[0.04735512,0.0005511897,0.0006834477,0.004689697,0.02037319,0.005619032,0.0102634,0.009227065,0.0005581303],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2141962,"about_ca_system_score_gemma":0.4376045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991441,"about_ca_topic_score_gemma":0.9939665,"domain_scores_codex":[0.9615312,0.009317914,0.001021122,0.002168186,0.01277779,0.01318385],"domain_scores_gemma":[0.9534436,0.01223215,0.001612793,0.002046019,0.01969933,0.01096606],"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":[0.00006983207,0.00009449305,0.01419184,0.000256906,0.00003588115,0.001075541,0.06049802,0.001241575,0.0006455855,0.737284,0.09571316,0.08889322],"study_design_scores_gemma":[0.00002903172,0.00005736824,0.03297947,0.0007140939,0.00004934752,0.0003340965,0.1050356,0.002063315,0.0006691276,0.04818994,0.8096372,0.0002413813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.08626336,0.006203125,0.003656796,0.4692913,0.001255197,0.0002772588,0.0002851109,0.0001500846,0.4326177],"genre_scores_gemma":[0.822646,0.00493764,0.007217087,0.03456967,0.0003086822,0.0001853571,0.0002292857,0.0001407894,0.1297656],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7858038,"threshold_uncertainty_score":0.911421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07030799807544685,"score_gpt":0.4145560795540075,"score_spread":0.3442480814785606,"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."}}