{"id":"W4241184029","doi":"10.32920/ryerson.14656101","title":"Household food insecurity among recent immigrants to Canada: A quantitative analysis","year":2021,"lang":"en","type":"preprint","venue":"","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; University of British Columbia","funders":"","keywords":"Immigration; Odds; Food insecurity; Logistic regression; Geography; Settlement (finance); Food security; Population; Socioeconomics; Demographic economics; Demography; Economics; Sociology; Medicine; Agriculture","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":[0.001449759,0.0002697213,0.0002688156,0.003145283,0.003258457,0.001440162,0.0008169287,0.0003249565,0.002785557],"category_scores_gemma":[0.00302379,0.0002468789,0.0005052076,0.005908209,0.0009560921,0.0003185712,0.001163257,0.0004469517,0.000217807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0164069,"about_ca_system_score_gemma":0.02438906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9752488,"about_ca_topic_score_gemma":0.9802908,"domain_scores_codex":[0.9992466,0.00008457975,0.00005493757,0.00007269609,0.0003142148,0.0002269803],"domain_scores_gemma":[0.9975351,0.000243933,0.0004400113,0.00006610643,0.001353478,0.0003613382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004434642,0.00004439894,0.9837223,0.00007659285,0.0000383946,0.00007117518,0.007961472,0.0001147264,0.0001556834,0.0001607562,0.001255829,0.006354332],"study_design_scores_gemma":[0.000002108219,0.00002176457,0.9871775,0.00003933826,0.000009116981,0.00002315716,0.01138001,0.000186423,0.00003124715,0.0000237204,0.001095623,0.00001009348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921068,0.0001827945,0.0001794672,0.0001601688,0.000004385975,0.000154365,0.005258658,0.000007509779,0.001945901],"genre_scores_gemma":[0.9940358,0.0003460778,0.0005277818,0.0000714144,0.000005521538,0.0001771271,0.002998172,0.000004762047,0.001833287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02475125,"threshold_uncertainty_score":0.119041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2949691520275978,"score_gpt":0.4437468506382007,"score_spread":0.1487776986106029,"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."}}