{"id":"W4386114365","doi":"10.48550/arxiv.2308.11541","title":"Refugee status determination: how cooperation with machine learning tools can lead to more justice","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adjudication; Refugee; Context (archaeology); Economic Justice; Computer science; Noise (video); Outcome (game theory); Artificial intelligence; Political science; Data science; Public relations; Psychology; Law; Image (mathematics); Economics; Geography","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":[0.02504067,0.0009880898,0.0009320243,0.002672612,0.002889699,0.008188413,0.002267328,0.002635922,0.007439036],"category_scores_gemma":[0.0808787,0.0005320046,0.001065537,0.001947678,0.004549594,0.009883159,0.008059585,0.004407679,0.002849601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122934,"about_ca_system_score_gemma":0.004905655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004911256,"about_ca_topic_score_gemma":0.006125184,"domain_scores_codex":[0.979148,0.01337271,0.0008170331,0.002117642,0.003475775,0.001068721],"domain_scores_gemma":[0.9402617,0.04237266,0.003229312,0.008347839,0.004113471,0.001674919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004848459,0.0010523,0.04375468,0.0006127746,0.0002425176,0.001393111,0.0112857,0.07042155,0.006524398,0.2057012,0.02285862,0.6356685],"study_design_scores_gemma":[0.00009858099,0.0004577987,0.01076893,0.0005522722,0.0001330141,0.0004678968,0.006139092,0.346441,0.00824783,0.5527352,0.07376429,0.0001940913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2250669,0.001987786,0.5925197,0.04917704,0.0006786798,0.0006618698,0.0004139822,0.004194943,0.1252991],"genre_scores_gemma":[0.8259792,0.0005189805,0.1660862,0.001524361,0.0001799044,0.0001470791,0.0003362062,0.0003862702,0.004841794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02504067,"threshold_uncertainty_score":0.1324293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2220284349625632,"score_gpt":0.3398104426574498,"score_spread":0.1177820076948866,"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."}}