{"id":"W2970752996","doi":"","title":"No Return Ticket: CBSA Deportation in Canada","year":2019,"lang":"en","type":"dissertation","venue":"Mount Royal University Institutional Repository (Mount Royal University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deportation; Ticket; Computer security; Computer science; Political science; Geography; Law; Immigration","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":[0.001171172,0.0001379891,0.0002858655,0.001187587,0.00969379,0.003979648,0.001279332,0.0006496995,0.005925446],"category_scores_gemma":[0.004377431,0.0002118252,0.0002977307,0.003493196,0.003243251,0.0008691612,0.001837509,0.001481308,0.0002651127],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1428098,"about_ca_system_score_gemma":0.187304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979613,"about_ca_topic_score_gemma":0.9989524,"domain_scores_codex":[0.9976373,0.0001632316,0.00005336769,0.0001866247,0.0006986452,0.001260783],"domain_scores_gemma":[0.9961798,0.0003543406,0.0005393432,0.00009203653,0.00164316,0.001191286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000255284,0.0002018496,0.5476096,0.0005211713,0.0001288094,0.001344051,0.09176017,0.003811296,0.001247829,0.1579781,0.08167046,0.1134715],"study_design_scores_gemma":[0.00001894268,0.00005341089,0.7542784,0.0004272751,0.00005319252,0.0001498034,0.1232469,0.00245323,0.0005989629,0.002396329,0.1162391,0.00008445034],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9061036,0.002442262,0.0004853751,0.0171335,0.0001020204,0.0000651633,0.002078274,0.00003601296,0.0715539],"genre_scores_gemma":[0.9850615,0.001129636,0.0002105,0.0006709045,0.000008910985,0.00001054999,0.0003150681,0.000009787717,0.01258315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428098,"threshold_uncertainty_score":0.9942192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005894063609474277,"score_gpt":0.1884337391086228,"score_spread":0.1825396754991485,"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."}}