{"id":"W4311298289","doi":"10.22574/jmid.2022.12.003","title":"Centralized refugee matching mechanisms with hierarchical priority classes","year":2022,"lang":"en","type":"article","venue":"Journal of Mechanism and Institution Design","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Refugee; Matching (statistics); Axiom; Prioritization; Class (philosophy); Forced migration; Computer science; Political science; Mathematics; Economics; Management science; Statistics; Law; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006551348,0.0005009536,0.001212325,0.000874761,0.00142931,0.003514808,0.003514301,0.0019014,0.007876498],"category_scores_gemma":[0.01494733,0.0005672208,0.001235108,0.00141661,0.001706188,0.007041719,0.003334846,0.001690176,0.001020083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329621,"about_ca_system_score_gemma":0.002318742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349537,"about_ca_topic_score_gemma":0.002055071,"domain_scores_codex":[0.9948196,0.002208593,0.0003488581,0.001080303,0.0007524739,0.0007902125],"domain_scores_gemma":[0.9906308,0.003642044,0.001529677,0.002661384,0.0007468034,0.0007893406],"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":[0.0004630992,0.0003199607,0.003482425,0.0001788512,0.0001317768,0.0002096349,0.0005503293,0.1664938,0.003463783,0.752453,0.001789797,0.07046356],"study_design_scores_gemma":[0.0003517164,0.0002568741,0.0009962831,0.00003325374,0.00008425356,0.0002247361,0.000263377,0.6152654,0.002822134,0.3706414,0.008992885,0.00006771869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1128682,0.0002114995,0.8751473,0.0005451152,0.00007206725,0.0002946447,0.0001189245,0.0003647963,0.01037747],"genre_scores_gemma":[0.8889906,0.0001348789,0.1026831,0.0001291031,0.00005172796,0.0001906205,0.00008202723,0.0000335209,0.007704303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007876498,"threshold_uncertainty_score":0.03464729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347255902532067,"score_gpt":0.2236278732157637,"score_spread":0.190155314190443,"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."}}