{"id":"W4281757221","doi":"10.18753/2297-8224-194","title":"Refugee Resettlement Scheme is the Golden Ticket but Very Scarce for Many in Africa: Prospects and Challenges During COVID-19","year":2022,"lang":"en","type":"article","venue":"sozialpolitik ch","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Persecution; Political science; Economic growth; Globe; Development economics; Displaced person; Law; Economics; Medicine","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":[0.007239039,0.0004114845,0.0006105521,0.001204846,0.003383233,0.004569518,0.0007890554,0.001639737,0.00627291],"category_scores_gemma":[0.01071572,0.0002927358,0.0005095043,0.002695042,0.001933947,0.006857244,0.003260888,0.002465694,0.0005383321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003364365,"about_ca_system_score_gemma":0.01046926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118053,"about_ca_topic_score_gemma":0.02520847,"domain_scores_codex":[0.996192,0.00203581,0.0002623404,0.0001814987,0.0004605804,0.00086786],"domain_scores_gemma":[0.9933727,0.003275954,0.001238837,0.000136842,0.001076014,0.0008998201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003481525,0.0001545947,0.05077807,0.02852204,0.0001718126,0.01848803,0.1611677,0.0008756585,0.003248031,0.09884871,0.07305118,0.5643461],"study_design_scores_gemma":[0.00001447994,0.0001807699,0.03263584,0.01910475,0.00007037746,0.002995194,0.4158115,0.0001362802,0.000395164,0.005250935,0.5233368,0.00006788815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3007545,0.3380319,0.002171757,0.3031138,0.003909099,0.0003135548,0.001439302,0.00005242729,0.05021371],"genre_scores_gemma":[0.7395978,0.2350591,0.004036801,0.01295635,0.0006282999,0.0002472146,0.0006563123,0.00005580753,0.00676233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0118053,"threshold_uncertainty_score":0.03828418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0844756732504703,"score_gpt":0.3526378710463995,"score_spread":0.2681621977959292,"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."}}