{"id":"W2982099010","doi":"10.1017/cyl.2019.13","title":"Canada’s Treatment of Non-Citizens through the Lens of the United Nations Individual Complaints Mechanisms","year":2019,"lang":"en","type":"article","venue":"Canadian Yearbook of international Law/Annuaire canadien de droit international","topic":"International Law and Aviation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto Metropolitan University","funders":"","keywords":"Human rights; Treaty; Jurisprudence; Law; Immigration; Refugee; Political science; Persecution; Torture; Enforcement; Refugee law; International human rights law; Sociology; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003129249,0.000167213,0.0002243426,0.0005091891,0.0002935751,0.00004046968,0.001364746,0.000116814,0.001007049],"category_scores_gemma":[0.0002115699,0.0001441362,0.0001826016,0.0004759629,0.0003915539,0.0002127434,0.00005255683,0.0001387658,0.000009224158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003247996,"about_ca_system_score_gemma":0.005608698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939351,"about_ca_topic_score_gemma":0.9987437,"domain_scores_codex":[0.9976329,0.0001028842,0.0005268739,0.0002295489,0.00115736,0.0003503862],"domain_scores_gemma":[0.9976148,0.0002862625,0.0004540861,0.0002776961,0.001211536,0.0001556204],"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":[0.00001580697,0.00004070596,0.003509898,0.000005992486,0.0003062412,0.000005377206,0.00266505,0.0006762953,0.0001213566,0.9903191,0.002253399,0.00008078806],"study_design_scores_gemma":[0.0009898967,0.000123651,0.04103103,0.0002273584,0.00007971183,0.00002154144,0.002738617,0.0009363577,0.002827553,0.01995865,0.9307444,0.0003212272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2808309,0.00001958478,0.0001223044,0.01690646,0.003405442,0.0007266849,0.004431594,0.00001213334,0.6935449],"genre_scores_gemma":[0.9869871,0.00003412821,0.0002169009,0.001232645,0.0002022504,0.00002450045,0.0002635292,0.00001937584,0.0110196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9703605,"threshold_uncertainty_score":0.9999062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327075889690203,"score_gpt":0.2435653617984496,"score_spread":0.2302946029015476,"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."}}