{"id":"W4309836241","doi":"10.1111/capa.12503","title":"More than advocates: Lawyers' role in efficient refugee status determination","year":2022,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Political science; Government (linguistics); Law; Macro; Law and economics; Public administration; Sociology; Computer science","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":[0.03351415,0.0002536521,0.0005042098,0.001982961,0.02823718,0.01688767,0.002267245,0.006301814,0.01998186],"category_scores_gemma":[0.08687886,0.0007058932,0.0003422783,0.001955781,0.0244937,0.004993549,0.009656818,0.009944049,0.001759511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03040403,"about_ca_system_score_gemma":0.1336476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3242644,"about_ca_topic_score_gemma":0.532671,"domain_scores_codex":[0.9687973,0.01490186,0.0005574934,0.001803116,0.005370737,0.008569482],"domain_scores_gemma":[0.9034542,0.04059034,0.008823978,0.003132839,0.01439428,0.0296044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001830524,0.0005498408,0.05538666,0.0003982715,0.00004955655,0.001367968,0.1230794,0.0005833212,0.002049223,0.5225987,0.123334,0.17042],"study_design_scores_gemma":[0.0002308088,0.0002074546,0.04495893,0.001034905,0.0001158697,0.0007133375,0.1453979,0.001231547,0.001820396,0.0801512,0.7239205,0.0002171192],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1721057,0.002754026,0.007575132,0.5701922,0.001246297,0.0002066222,0.00007753303,0.0002239833,0.2456186],"genre_scores_gemma":[0.9274519,0.0008785619,0.002632417,0.03554751,0.0004276775,0.00006332167,0.00002699934,0.00006852655,0.03290304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6757356,"threshold_uncertainty_score":0.6447541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385170210935832,"score_gpt":0.2846350354513078,"score_spread":0.2707833333419495,"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."}}