{"id":"W331736218","doi":"","title":"The Removal of Maher Arar and Lessons Learned for Future Engagement Between the United States and Canada","year":2012,"lang":"en","type":"article","venue":"Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homeland security; Terrorism; Immigration; Government (linguistics); Political science; Law enforcement; Public administration; National security; Enforcement; Order (exchange); Politics; Economic growth; Law; Business; 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":[0.01117238,0.0004267884,0.0007004918,0.001397546,0.07263033,0.01734314,0.003242014,0.007070287,0.004847433],"category_scores_gemma":[0.01525259,0.0004002374,0.0005557595,0.002557661,0.01939818,0.004376141,0.006876965,0.01323392,0.0005507636],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1691922,"about_ca_system_score_gemma":0.445509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934916,"about_ca_topic_score_gemma":0.9959776,"domain_scores_codex":[0.9790995,0.003207709,0.0003632416,0.001365623,0.00639627,0.009567684],"domain_scores_gemma":[0.9861186,0.002338748,0.0006111843,0.0005000163,0.006156669,0.004274839],"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":[0.00009162271,0.000193272,0.01766667,0.0002743763,0.00005027026,0.003848865,0.206742,0.001311248,0.001215792,0.3616545,0.27808,0.1288714],"study_design_scores_gemma":[0.0000202679,0.00003784557,0.01227533,0.0005702705,0.00003416729,0.0003297204,0.2902772,0.0005700188,0.000664556,0.0119106,0.6831833,0.0001267735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1348519,0.01008824,0.001608082,0.6855059,0.001660149,0.0001332767,0.0001461156,0.0000562023,0.1659501],"genre_scores_gemma":[0.8332748,0.009910516,0.002644849,0.06793722,0.0002159298,0.00009233129,0.0001381953,0.0000660583,0.08572009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1691922,"threshold_uncertainty_score":0.9636192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0492252230880842,"score_gpt":0.3124090553173425,"score_spread":0.2631838322292583,"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."}}