{"id":"W7084090098","doi":"10.64628/aam.33vhy6f9a","title":"Suspending private refugee sponsorship will trap refugees in war zones and keep families apart","year":2025,"lang":"en","type":"article","venue":"","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Waterloo","funders":"","keywords":"Refugee; Trap (plumbing); Government (linguistics); Spanish Civil War; Asylum seeker","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":[0.00585655,0.0004494849,0.000380393,0.0005274648,0.009196092,0.00753346,0.001094634,0.0052866,0.04207679],"category_scores_gemma":[0.02439272,0.0003565902,0.0006355749,0.0003148123,0.003072944,0.003244571,0.00824501,0.006731257,0.007394861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681367,"about_ca_system_score_gemma":0.01248641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006060109,"about_ca_topic_score_gemma":0.02783522,"domain_scores_codex":[0.9955689,0.001533951,0.0001381478,0.000140937,0.0003832877,0.002234652],"domain_scores_gemma":[0.9678986,0.003957829,0.002575291,0.001622634,0.00248348,0.02146211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007914153,0.002630129,0.1604435,0.0003104069,0.0001453383,0.003730488,0.02111603,0.0004269244,0.004573349,0.04195519,0.5739738,0.1899035],"study_design_scores_gemma":[0.0006317424,0.001671821,0.172409,0.001511342,0.0001280333,0.002234251,0.2380465,0.0008025889,0.001972876,0.02568188,0.5546924,0.000217631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.4031147,0.001369748,0.00247599,0.4188897,0.01049915,0.000303985,0.0003094117,0.0002778238,0.1627595],"genre_scores_gemma":[0.854324,0.0007742497,0.002113048,0.06016335,0.002268295,0.0003367079,0.0002116964,0.0001023926,0.07970627],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04207679,"threshold_uncertainty_score":0.1407609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08610443385805745,"score_gpt":0.4397446424956089,"score_spread":0.3536402086375514,"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."}}