{"id":"W4404938287","doi":"10.1080/15562948.2024.2425791","title":"Unpacking Food and Housing Insecurity: A Study of Ukrainian and Syrian Refugee Women in Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Immigrant & Refugee Studies","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Unpacking; Ukrainian; Refugee; Food insecurity; Syrian refugees; Gender studies; Political science; Sociology; Food security; Geography; 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":[0.001662016,0.000634007,0.0009881986,0.001518155,0.02304754,0.00468793,0.001555536,0.001316686,0.002605557],"category_scores_gemma":[0.00270996,0.0007365261,0.0005034255,0.003136973,0.007783268,0.001534998,0.006314966,0.002755247,0.0002792338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02444065,"about_ca_system_score_gemma":0.05587355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9349577,"about_ca_topic_score_gemma":0.9807519,"domain_scores_codex":[0.9982175,0.0003665055,0.00004505475,0.0000905349,0.0001999267,0.001080423],"domain_scores_gemma":[0.9985039,0.0002592618,0.0001519977,0.00003592362,0.0003238091,0.0007252056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000467201,0.00007321608,0.03784472,0.00008452376,0.00001217443,0.001586875,0.9535238,0.00002418586,0.0004967424,0.0004590738,0.0008973005,0.004950775],"study_design_scores_gemma":[0.000002098417,0.00002231461,0.0121329,0.00004873405,0.000003674157,0.0001286993,0.9852065,0.00001251158,0.00003032883,0.0000256236,0.002375901,0.00001080011],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996129,0.0005160431,0.000047409,0.000929357,0.00002789616,0.00004904981,0.00006941491,0.000002318234,0.002229398],"genre_scores_gemma":[0.9953437,0.001128288,0.0001353557,0.0008470854,0.000008718606,0.00004018661,0.00006123917,0.000008294352,0.002427015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06504226,"threshold_uncertainty_score":0.1773301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123132484244089,"score_gpt":0.4255119735034003,"score_spread":0.3023794892593114,"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."}}