{"id":"W4399168250","doi":"10.2139/ssrn.4848913","title":"Ethically Informed Algorithmic Matching and Refugee Resettlement","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Refugee; Optimism; Skepticism; Matching (statistics); Heuristic; Function (biology); Dual (grammatical number); Political science; Computer science; Psychology; Social psychology; Law; Epistemology; Artificial intelligence; Medicine","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":[0.04542228,0.0006604846,0.0005271452,0.001866245,0.004624287,0.008422828,0.001960585,0.004219763,0.006178802],"category_scores_gemma":[0.1022468,0.000444917,0.0006619687,0.002127188,0.01692956,0.007915293,0.008960136,0.002907871,0.0009201443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003690142,"about_ca_system_score_gemma":0.008634087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165877,"about_ca_topic_score_gemma":0.002055172,"domain_scores_codex":[0.9419912,0.04849083,0.001983985,0.00231905,0.003738146,0.001476758],"domain_scores_gemma":[0.9440015,0.0370072,0.006524234,0.008517373,0.002824659,0.001124976],"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":[0.00006527589,0.00008789042,0.00516144,0.0001873058,0.00002948746,0.0001522309,0.006949289,0.01239982,0.000391369,0.8969088,0.0022902,0.07537684],"study_design_scores_gemma":[0.0000437805,0.0001104756,0.001428942,0.0003484961,0.00002364485,0.0002803621,0.006860879,0.01656661,0.00120385,0.9309721,0.0421101,0.00005078549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.10909,0.001275173,0.7185991,0.03589823,0.0005262642,0.0007181954,0.0001022823,0.0003188114,0.133472],"genre_scores_gemma":[0.8060166,0.0004616671,0.1833665,0.002113081,0.00008829375,0.0005413049,0.00007862075,0.00008449404,0.007249407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04542228,"threshold_uncertainty_score":0.2402188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126262027940391,"score_gpt":0.3249514624668204,"score_spread":0.3136888421874165,"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."}}