{"id":"W4402169238","doi":"10.32920/26883745.v1","title":"Obscure, Minimize, and Distract: The Canadian State's Playbook on the Characterization and Justification of Immigration Detention","year":2024,"lang":"en","type":"preprint","venue":"","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Immigration detention; Immigration; State (computer science); Political science; Characterization (materials science); Law; Computer science; Algorithm","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":[0.003946882,0.0006265434,0.0003580248,0.003242383,0.03986679,0.01227942,0.001685581,0.002498053,0.004915161],"category_scores_gemma":[0.008599848,0.0003643599,0.0003121024,0.004970806,0.03874653,0.003366595,0.003242351,0.004832977,0.0002901238],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1722565,"about_ca_system_score_gemma":0.1796451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914443,"about_ca_topic_score_gemma":0.9943904,"domain_scores_codex":[0.9950203,0.001585174,0.0001155794,0.0003430312,0.001951468,0.0009845571],"domain_scores_gemma":[0.9944763,0.00327096,0.000207839,0.0001479509,0.001382976,0.0005140157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003047258,0.00001354001,0.002221899,0.0001261902,0.000008222642,0.0003393654,0.5438525,0.0002833066,0.0006364148,0.349875,0.07819659,0.0244165],"study_design_scores_gemma":[0.00000524001,0.00000853225,0.00485612,0.0003806559,0.00001878736,0.0001012323,0.379778,0.000321676,0.0005558585,0.010658,0.6032496,0.00006631531],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1824705,0.01485974,0.006454615,0.2230013,0.001868082,0.0001260395,0.0009377963,0.0002222388,0.5700597],"genre_scores_gemma":[0.949854,0.004244852,0.001664598,0.005491323,0.000118644,0.00004141594,0.0001246901,0.0001130579,0.03834736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1722565,"threshold_uncertainty_score":0.9600651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454846239782869,"score_gpt":0.2867736530587506,"score_spread":0.2422251906609219,"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."}}