{"id":"W2746903696","doi":"10.1177/233150241700500306","title":"Matching Systems for Refugees","year":2017,"lang":"en","type":"article","venue":"Journal on Migration and Human Security","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Matching (statistics); Context (archaeology); Work (physics); Political science; European union; Regional science; Sociology; Law; Geography; Mathematics; Engineering; Economics; International trade; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001286764,0.00008124345,0.000218714,0.00008470356,0.00127754,0.0008461395,0.0001394945,0.00005917867,0.00002813846],"category_scores_gemma":[0.00006127536,0.0000783359,0.00007281352,0.000009005944,0.00003055257,0.0002720718,0.00001359899,0.0001530047,0.00003227927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002893158,"about_ca_system_score_gemma":0.000003957196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000119931,"about_ca_topic_score_gemma":0.00009773779,"domain_scores_codex":[0.9993123,0.00002185481,0.0003784907,0.0001412831,0.00002669899,0.0001193989],"domain_scores_gemma":[0.998995,0.00003071384,0.0006923491,0.0001847778,0.00003060773,0.00006656891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000147735,0.0000262279,0.006506102,0.00003813429,0.00001682682,0.000001131341,0.001160298,0.00001130777,0.00003071093,0.9913589,0.0007966933,0.00003889159],"study_design_scores_gemma":[0.001076924,0.0003120028,0.02614642,0.0001571734,0.000008726502,0.00004917361,0.0004079721,0.0008030983,0.00003709315,0.6983768,0.2723536,0.0002710241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918013,0.0005351029,0.0006896285,0.0003964118,0.0007211919,0.0001337179,0.00003010244,0.0000134287,0.00567907],"genre_scores_gemma":[0.9975291,0.00005117572,0.00002716429,0.0000705449,0.0005872526,0.000006651215,0.000003021521,0.000009134231,0.001715906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2929821,"threshold_uncertainty_score":0.982593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0469500361408618,"score_gpt":0.2945206262690592,"score_spread":0.2475705901281974,"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."}}