{"id":"W4230609135","doi":"10.32920/14637882","title":"Perceived barriers in accessing food among recent Latin American immigrants in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Language barrier; Vulnerability (computing); Immigration; Business; Thematic analysis; Food security; Latin Americans; Population; Marketing; Geography; Political science; Environmental health; Medicine; Qualitative research; Sociology; Agriculture","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005067364,0.0002550203,0.0002543731,0.0004611111,0.003439831,0.001470765,0.0004960447,0.0003472395,0.002735016],"category_scores_gemma":[0.001877568,0.0001995125,0.000240293,0.000841432,0.001217389,0.0004251583,0.001436837,0.0004990858,0.0001333173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00731702,"about_ca_system_score_gemma":0.007638001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8904266,"about_ca_topic_score_gemma":0.9345881,"domain_scores_codex":[0.9997004,0.00005317785,0.00002065526,0.00002459431,0.00006475766,0.0001364449],"domain_scores_gemma":[0.999176,0.000103376,0.0002214647,0.00001808551,0.0001828401,0.000298317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001560347,0.00009624525,0.7893128,0.0002353268,0.00004535975,0.002314035,0.1930043,0.0001112856,0.001795928,0.0003902845,0.001389598,0.01114887],"study_design_scores_gemma":[0.00001058376,0.0001257967,0.5855734,0.000284292,0.0000389049,0.0004093764,0.4092525,0.0001385994,0.0001610031,0.00005446028,0.003922986,0.00002815724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987395,0.0001686751,0.00001485366,0.0001811722,0.000004908954,0.000008020624,0.0000498252,0.000001456038,0.0008315723],"genre_scores_gemma":[0.9985613,0.0004767314,0.00005448211,0.0001289799,0.000002834148,0.00001361124,0.0000723675,0.000001790039,0.000687848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095734,"threshold_uncertainty_score":0.2204374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461437432821562,"score_gpt":0.4638233739733816,"score_spread":0.3176796306912254,"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."}}