{"id":"W4394914376","doi":"10.5430/ijh.v10n1p10","title":"Ukrainian refugee women’s experiences of settlement and navigating health and social services in Canada","year":2024,"lang":"en","type":"article","venue":"International Journal of Healthcare","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Refugee; Settlement (finance); Ukrainian; Political science; Health services; Economic growth; Gender studies; Geography; Sociology; Business; Environmental health; Medicine; Economics; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005314156,0.0000740355,0.0001893162,0.0001132132,0.00005574253,0.00002392754,0.0001159536,0.00003269034,0.00009674191],"category_scores_gemma":[0.000005998836,0.00006577496,0.00001770044,0.00007139031,0.000027047,0.0000991218,0.00002095007,0.0002489018,3.859481e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406687,"about_ca_system_score_gemma":0.00147171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4009886,"about_ca_topic_score_gemma":0.6509444,"domain_scores_codex":[0.998524,0.000117725,0.0006676297,0.0001257518,0.0003465966,0.0002183273],"domain_scores_gemma":[0.9992998,0.00008009036,0.0002866364,0.00003591137,0.0001417785,0.0001558469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009922272,0.00001847735,0.03543329,0.0005397866,0.00004942174,0.00007110591,0.8529398,7.828172e-7,0.000002740812,0.001301639,0.0001714596,0.1093722],"study_design_scores_gemma":[0.0007620315,0.0004188067,0.07458553,0.001095654,0.000002580538,0.000288243,0.903666,0.0001070926,0.000009886791,0.0003910264,0.01857112,0.0001020998],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641721,0.008566475,0.000002770165,0.02586061,0.00123418,0.00007101613,0.00006863303,0.000003169348,0.00002102962],"genre_scores_gemma":[0.9970248,0.0002407337,0.00006877376,0.002390482,0.0002332312,0.00001761142,0.0000108152,0.00000629864,0.000007283651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2499558,"threshold_uncertainty_score":0.6030003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817815464850532,"score_gpt":0.3783011343710659,"score_spread":0.3601229797225606,"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."}}