{"id":"W7070917414","doi":"","title":"Refugee status determination procedures:Belgium, Canada, and the United States","year":2024,"lang":"en","type":"article","venue":"Graduate Institute Geneva Institutional Repository (Graduate Institute of International and Development Studies)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refugee; Immigration; Population; Ethnic group; State (computer science)","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":[0.003156154,0.0008423951,0.0006455788,0.006961438,0.006238657,0.002355615,0.001857568,0.0006588528,0.03430056],"category_scores_gemma":[0.01405159,0.0005551864,0.0006780764,0.01111498,0.0009543539,0.0007024853,0.001835905,0.001498066,0.007003742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01760076,"about_ca_system_score_gemma":0.08502616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9555904,"about_ca_topic_score_gemma":0.9799411,"domain_scores_codex":[0.9964072,0.0004074028,0.000295097,0.0003147222,0.001514785,0.001060753],"domain_scores_gemma":[0.9879088,0.0004805203,0.0004897561,0.0007487272,0.009374724,0.0009974655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009231077,0.0003269477,0.07499598,0.0003848588,0.00007131336,0.0005484019,0.006716364,0.001075305,0.002394036,0.01991522,0.7318619,0.1607866],"study_design_scores_gemma":[0.00012585,0.00009154386,0.2592577,0.0005382174,0.00009039388,0.000274812,0.009783075,0.0008331648,0.005523288,0.00137086,0.7219906,0.0001204921],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1691084,0.001466023,0.01282164,0.004718987,0.001624021,0.01199975,0.4270628,0.002625582,0.3685728],"genre_scores_gemma":[0.2710659,0.002544884,0.05055007,0.002892227,0.0001518103,0.01420661,0.2957,0.002288943,0.3605996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04440963,"threshold_uncertainty_score":0.1277031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873823513610034,"score_gpt":0.2875490002278424,"score_spread":0.248810765091742,"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."}}