{"id":"W2472086303","doi":"10.1080/19371918.2016.1160349","title":"Immigrant Health in Toronto, Canada: Addressing Food Insecurity as a Social Determinant of Tuberculosis","year":2016,"lang":"en","type":"article","venue":"Social Work in Public Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Poverty; Tuberculosis; Food insecurity; Public health; Government (linguistics); Economic growth; Environmental health; Political science; Development economics; Food security; Medicine; Geography; Economics; Nursing","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":[0.0009807022,0.0002424863,0.000255329,0.0007109247,0.01042357,0.001893949,0.001079534,0.0007960117,0.002456455],"category_scores_gemma":[0.001666671,0.0001567586,0.0003621513,0.001451441,0.002627946,0.000510616,0.002902446,0.001500158,0.0001064494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05756512,"about_ca_system_score_gemma":0.1527634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934001,"about_ca_topic_score_gemma":0.9982367,"domain_scores_codex":[0.998966,0.0002468831,0.00002865119,0.00003849123,0.0001531564,0.0005668328],"domain_scores_gemma":[0.9976304,0.0001393866,0.0002287975,0.00002155075,0.0003355974,0.00164421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000206432,0.0003008662,0.7266611,0.001062975,0.000104433,0.003650713,0.1183212,0.0005222104,0.001330037,0.008624648,0.02979005,0.1094253],"study_design_scores_gemma":[0.00002201949,0.0001212718,0.7994201,0.0009780187,0.00005369171,0.0003595224,0.1713953,0.0003412545,0.0001371729,0.0006348607,0.0264919,0.00004505679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015062,0.01443962,0.0002256198,0.05911573,0.0002940031,0.0001132775,0.0004550059,0.00001914616,0.02383146],"genre_scores_gemma":[0.9885644,0.005822348,0.0002878026,0.002657041,0.00006173676,0.00003001427,0.00008170419,0.000004731624,0.002490039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05756512,"threshold_uncertainty_score":0.4176661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1913659655060228,"score_gpt":0.4495048402680097,"score_spread":0.2581388747619869,"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."}}