{"id":"W4244110370","doi":"10.32920/ryerson.14657877.v1","title":"Stepping-Stones to Security: An Analysis of the Safe Third Country Agreement","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Agreement; Political science; State (computer science); Free trade agreement; Border Security; International trade; 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":[0.005520794,0.0002589577,0.0004504463,0.002387916,0.01321779,0.01036516,0.001526493,0.002835808,0.009125671],"category_scores_gemma":[0.01162172,0.000224645,0.0009362092,0.004224848,0.01101063,0.004870615,0.00691851,0.00452964,0.0003758201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02962914,"about_ca_system_score_gemma":0.04100276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4055161,"about_ca_topic_score_gemma":0.3813265,"domain_scores_codex":[0.9932566,0.001891759,0.0001375705,0.0003310773,0.001523994,0.002859059],"domain_scores_gemma":[0.9933757,0.002948352,0.0008064718,0.0004389165,0.001616756,0.0008137855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001560972,0.00003179697,0.00487021,0.00002876471,0.00001076585,0.0004668889,0.01387975,0.001470786,0.00007826304,0.9723243,0.002012039,0.004810946],"study_design_scores_gemma":[0.0000390539,0.00007690819,0.03316617,0.0004926663,0.00008563837,0.0003013597,0.2384142,0.009392994,0.000564836,0.5122145,0.2051504,0.0001012031],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3601398,0.0009028115,0.01444339,0.01727908,0.0001231467,0.0002712233,0.000321186,0.00003721633,0.6064822],"genre_scores_gemma":[0.9833764,0.0005209934,0.001550873,0.0007434841,0.00002311238,0.00008854907,0.0001150636,0.00002337141,0.01355816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.594484,"threshold_uncertainty_score":0.8063114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054899475626481,"score_gpt":0.3152849726349602,"score_spread":0.2947359778786954,"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."}}