{"id":"W4291914543","doi":"10.1177/13558196221109148","title":"Immigrants’ and refugees’ experiences of access to health and social services during the COVID-19 pandemic in Toronto, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Health Services Research & Policy","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Refugee; Immigration; Pandemic; Qualitative research; Social distance; Health care; Coronavirus disease 2019 (COVID-19); Political science; Psychology; Medicine; Sociology; Disease; Social science; Infectious disease (medical specialty)","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":[0.001693029,0.0003972063,0.0005107226,0.00095494,0.02106064,0.004029009,0.001083158,0.0009117229,0.003469161],"category_scores_gemma":[0.00347151,0.0004028516,0.0003968246,0.001652358,0.008583838,0.00112069,0.005731662,0.002401864,0.000144308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05400147,"about_ca_system_score_gemma":0.06294168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9793105,"about_ca_topic_score_gemma":0.9929361,"domain_scores_codex":[0.9980217,0.0005082854,0.00005990023,0.00009984194,0.0002638391,0.001046442],"domain_scores_gemma":[0.9968597,0.0004474287,0.0003259188,0.0000448787,0.0006339843,0.001688132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009410323,0.00003367674,0.03595222,0.00008776406,0.00001652612,0.001109048,0.9556657,0.00006654058,0.0002967562,0.0008566866,0.002538988,0.003282007],"study_design_scores_gemma":[0.000003647989,0.00002353576,0.02627285,0.00008356828,0.000005439606,0.00007475284,0.9701509,0.00002452219,0.00002877398,0.00003983735,0.003274326,0.00001785438],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917524,0.0005102636,0.00005350469,0.002157563,0.00004335149,0.00003670887,0.0001406639,0.00000424484,0.005301281],"genre_scores_gemma":[0.996999,0.0005418159,0.00006145671,0.0004455484,0.000007655633,0.0000201858,0.00006478716,0.000004355397,0.001855255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05400147,"threshold_uncertainty_score":0.3918099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07989258000019572,"score_gpt":0.5038946695974761,"score_spread":0.4240020895972804,"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."}}