{"id":"W4379879061","doi":"10.1016/j.jmh.2023.100192","title":"Health Care for All: Undocumented Migrants and the COVID-19 Pandemic in Alberta, Canada—A Scoping Review","year":2023,"lang":"en","type":"article","venue":"Journal of Migration and Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Health care; Residence; Equity (law); Immigration; Pandemic; Economic growth; Political science; Health equity; Business; Coronavirus disease 2019 (COVID-19); Medicine; Sociology; Demography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005293756,0.0009864785,0.002080633,0.01017856,0.002196989,0.005036321,0.002242859,0.001963903,0.003827275],"category_scores_gemma":[0.01921428,0.0005901491,0.001959646,0.01750907,0.001717533,0.001680372,0.002032223,0.001704256,0.0002142879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04097987,"about_ca_system_score_gemma":0.1598903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9128357,"about_ca_topic_score_gemma":0.9632698,"domain_scores_codex":[0.9980205,0.000422421,0.0003770119,0.0001406986,0.0007386401,0.0003006942],"domain_scores_gemma":[0.989145,0.004781899,0.001605189,0.0001404928,0.003601186,0.0007263548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003446717,0.00008705424,0.01061666,0.4479418,0.002497287,0.0004326396,0.004146746,0.0009098232,0.000164391,0.005303592,0.05376766,0.4737877],"study_design_scores_gemma":[0.00005482536,0.00006642238,0.02087089,0.842732,0.003506789,0.0003205219,0.004652467,0.0001397336,0.00008247493,0.0005961698,0.1269045,0.00007326264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007703396,0.9968529,0.00002089003,0.001087558,0.0001737881,0.00003504806,0.0002101318,0.000003240326,0.0008461233],"genre_scores_gemma":[0.009323213,0.9892789,0.0001328741,0.0007759611,0.00007617517,0.0000476348,0.0001739417,0.000002759867,0.0001886276],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.08716434,"threshold_uncertainty_score":0.2973312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08696265276971468,"score_gpt":0.4556288195129633,"score_spread":0.3686661667432486,"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."}}