{"id":"W4417457860","doi":"10.25318/82-003-x202501200001-eng","title":"Changes in households’ vulnerability to food insecurity in Canada before and after the COVID-19 pandemic","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Food insecurity; Vulnerability (computing); Food security; Pandemic; Food supply; Coronavirus disease 2019 (COVID-19); Poverty","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":[0.0007755174,0.0003470403,0.0004473137,0.001497616,0.004727743,0.002022275,0.001449028,0.0007160808,0.003089465],"category_scores_gemma":[0.003156821,0.0003889083,0.001008753,0.003611393,0.00130201,0.0007897223,0.002303808,0.00144631,0.0002380807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06998357,"about_ca_system_score_gemma":0.06350756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971622,"about_ca_topic_score_gemma":0.9979194,"domain_scores_codex":[0.9986909,0.00007577479,0.00004278316,0.0001285248,0.0002408235,0.0008211798],"domain_scores_gemma":[0.9977989,0.00008998658,0.0004153425,0.00006850677,0.0009041287,0.0007231702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002177468,0.00004643142,0.9786955,0.00008810992,0.000128758,0.0003575583,0.003805574,0.0007011446,0.0002486123,0.0008019758,0.003929004,0.01097973],"study_design_scores_gemma":[0.000004032901,0.00001388357,0.9943177,0.00005617363,0.0000112699,0.00004474911,0.003303309,0.0002692031,0.00003268284,0.00006765173,0.001862101,0.0000171683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823992,0.001154427,0.0001841475,0.002452102,0.00004474937,0.00007494725,0.008266635,0.00002445634,0.005399317],"genre_scores_gemma":[0.9956986,0.0005442903,0.0001448456,0.000260958,0.000007345135,0.00002244036,0.002118378,0.000007478428,0.001195707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06998357,"threshold_uncertainty_score":0.5077688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1888385862544971,"score_gpt":0.3939264755678989,"score_spread":0.2050878893134018,"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."}}