{"id":"W7112160527","doi":"","title":"Canada's Influence on Refugee Protection in Southeast Asia","year":2025,"lang":"en","type":"article","venue":"Durham Research Online (Durham University)","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Southeast asia; Refugee; Population; Government (linguistics)","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":[0.001129463,0.0002137901,0.0003991857,0.001545125,0.01945092,0.00695339,0.00110365,0.001224762,0.008918171],"category_scores_gemma":[0.003794979,0.0002371043,0.0002279987,0.00425783,0.005196095,0.001071472,0.003557923,0.002786781,0.0003162345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06904176,"about_ca_system_score_gemma":0.1180459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933188,"about_ca_topic_score_gemma":0.9979511,"domain_scores_codex":[0.9977563,0.0002990573,0.00005920011,0.0001029756,0.0003950785,0.00138738],"domain_scores_gemma":[0.9950615,0.0009827488,0.0003990945,0.00008447553,0.001348737,0.002123584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000513465,0.0001549597,0.2126984,0.0005247043,0.00008926582,0.005336903,0.5515749,0.0004749361,0.001997146,0.1086989,0.0570901,0.0608462],"study_design_scores_gemma":[0.0000266912,0.00003656635,0.1901413,0.0004855292,0.00004125995,0.0003970323,0.5985429,0.0001618061,0.0004134982,0.001278941,0.2083944,0.00008001577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8401644,0.002760573,0.0001121779,0.01893073,0.0001873356,0.00004541225,0.0006426714,0.00002093481,0.1371358],"genre_scores_gemma":[0.9844869,0.0009618741,0.00008327841,0.001309717,0.00001382709,0.000009980497,0.00005830783,0.00001486357,0.01306134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06904176,"threshold_uncertainty_score":0.5009354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911072362437768,"score_gpt":0.3448831203152561,"score_spread":0.3057723966908785,"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."}}