{"id":"W1663204839","doi":"10.17269/cjph.106.4893","title":"Changes in household food insecurity rates in Canadian metropolitan areas from 2007 to 2012","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Metropolitan area; Food insecurity; Poverty; Unemployment; Disadvantaged; Geography; Food security; Socioeconomics; Demography; Economics; Demographic economics; Economic growth; Agriculture; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006409395,0.0006131405,0.0005446344,0.003859532,0.002322002,0.001454533,0.002225467,0.0007942519,0.00362072],"category_scores_gemma":[0.002683639,0.0004986927,0.0015981,0.01015452,0.0005969477,0.0007939477,0.00130918,0.001057725,0.0005151937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03639057,"about_ca_system_score_gemma":0.03473128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971077,"about_ca_topic_score_gemma":0.9984722,"domain_scores_codex":[0.9988558,0.00004959694,0.0001111748,0.0001621983,0.0003432773,0.0004778393],"domain_scores_gemma":[0.996802,0.00006808029,0.0005845938,0.00007057026,0.001920049,0.0005546818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001977985,0.00003563469,0.977182,0.0001495064,0.0002001522,0.0001008575,0.001032938,0.0002934352,0.0001683752,0.0002232437,0.01171804,0.00869808],"study_design_scores_gemma":[0.000002873833,0.000006234206,0.9964576,0.00003298788,0.00002329665,0.0000321498,0.001039227,0.0001450606,0.00003732,0.000009704903,0.00220156,0.00001196983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916051,0.003946551,0.0002591492,0.002134101,0.0001209733,0.00007743295,0.09408761,0.0001307319,0.00763841],"genre_scores_gemma":[0.9776912,0.001724094,0.0003478853,0.0002843722,0.00003164589,0.0000504333,0.01671667,0.00001685831,0.003136782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03639057,"threshold_uncertainty_score":0.2640333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4126372421701117,"score_gpt":0.4388550065237053,"score_spread":0.02621776435359363,"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."}}