{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005507563,0.0001385709,0.0004811227,0.0004611431,0.001542214,0.00006568685,0.0007935512,0.00004887374,0.0002366297],"category_scores_gemma":[0.00003020971,0.0001079042,0.0000320792,0.0007720703,0.00008797632,0.0002778449,0.0003116828,0.0006753746,3.006899e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335025,"about_ca_system_score_gemma":0.00780899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984131,"about_ca_topic_score_gemma":0.9842755,"domain_scores_codex":[0.9944205,0.002234809,0.001124436,0.0002662727,0.001044691,0.0009092749],"domain_scores_gemma":[0.9976352,0.0003721831,0.0007252092,0.0002130302,0.0001868741,0.0008674501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009006865,0.00009706544,0.1430028,0.002834714,0.00002914183,0.00001652341,0.845593,0.00001481279,0.00001113703,0.000342351,0.001595634,0.005562113],"study_design_scores_gemma":[0.001067344,0.0006381342,0.3620009,0.00007411252,0.000001326054,0.0001729565,0.6071386,0.00001269784,0.000001427606,0.0001247678,0.02869047,0.00007726278],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447485,0.01537675,7.322873e-7,0.03902982,0.0001624805,0.000558693,0.00004898717,0.000005198599,0.00006888246],"genre_scores_gemma":[0.9716216,0.001230973,0.00001072019,0.02669859,0.000267392,0.00008738966,0.000005066853,0.00001363513,0.00006456907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2384544,"threshold_uncertainty_score":0.9997576,"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."}}