{"id":"W2797100274","doi":"","title":"Dynamic Refugee Matching","year":2018,"lang":"en","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Refugee; Matching (statistics); Computer science; Locality; Mechanism (biology); Asylum seeker; Bounded function; Computer security; Law; Political science; Mathematics; Statistics","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":[0.004171936,0.0005476009,0.001312512,0.001102745,0.001336722,0.001803733,0.003531768,0.001947873,0.01378081],"category_scores_gemma":[0.01497444,0.0004163708,0.0008305091,0.001365657,0.001258988,0.003175081,0.003634437,0.001233964,0.001511805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548068,"about_ca_system_score_gemma":0.001588845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002631957,"about_ca_topic_score_gemma":0.002237951,"domain_scores_codex":[0.9966337,0.001358619,0.0001717325,0.0009524588,0.000445024,0.000438497],"domain_scores_gemma":[0.9953114,0.001909466,0.0006928961,0.001354953,0.0003358042,0.0003954548],"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":[0.0007776772,0.0004611759,0.02154864,0.0002351621,0.000233985,0.0004922529,0.001128057,0.2942726,0.005022364,0.3862257,0.01264486,0.2769575],"study_design_scores_gemma":[0.000166117,0.000280361,0.004339965,0.00005081484,0.000081896,0.0006088028,0.0005345806,0.7868032,0.002809149,0.1894034,0.01484473,0.00007702984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1541459,0.0001836943,0.8199054,0.001280717,0.0001262284,0.0006310287,0.0006556165,0.0007789917,0.02229241],"genre_scores_gemma":[0.8908789,0.00008514641,0.09565429,0.0002517143,0.00003150474,0.0002566385,0.0003254351,0.0000456105,0.01247079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01378081,"threshold_uncertainty_score":0.04610139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005717670972505174,"score_gpt":0.2081785861720511,"score_spread":0.2024609151995459,"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."}}