{"id":"W4254186001","doi":"10.32920/ryerson.14650056","title":"Refugee Health: A Gender Comparison in Health Care Access","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Toronto Metropolitan University","funders":"","keywords":"Refugee; Immigration; Health care; Settlement (finance); Political science; Population; Gender studies; Medicine; Sociology; Gerontology; Economic growth; Environmental health; Business","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":[0.001886339,0.0001229992,0.0002697485,0.001231717,0.001832729,0.001958913,0.00027174,0.0003451267,0.007219163],"category_scores_gemma":[0.005412878,0.0001029943,0.0002088713,0.0009724461,0.001945264,0.001467998,0.002582397,0.0005268839,0.0002614385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526306,"about_ca_system_score_gemma":0.001705718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0252526,"about_ca_topic_score_gemma":0.03279491,"domain_scores_codex":[0.9990865,0.0003932257,0.00004093651,0.00007554442,0.0001334445,0.0002703222],"domain_scores_gemma":[0.9986546,0.0007377301,0.0001695674,0.00003984313,0.0001625228,0.0002357184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008935276,0.0003226914,0.2862316,0.0002036452,0.00005043794,0.0013627,0.62187,0.00005042126,0.001978723,0.02673025,0.002962378,0.05734358],"study_design_scores_gemma":[0.00002404836,0.0003187904,0.3315314,0.0001545011,0.00001947591,0.0006413346,0.6550267,0.00007262511,0.0002247388,0.002285281,0.009680587,0.00002045469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808146,0.001044848,0.000219101,0.001817135,0.00004702436,0.00002841039,0.0001771421,0.000003820555,0.01584804],"genre_scores_gemma":[0.9981235,0.0003444708,0.00008717932,0.0002397254,0.000007892285,0.00001788789,0.00003858202,0.00000347024,0.001137366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0252526,"threshold_uncertainty_score":0.05021125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1621678252860725,"score_gpt":0.4938008746646079,"score_spread":0.3316330493785354,"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."}}