{"id":"W3124792214","doi":"10.1096/fasebj.31.1_supplement.312.5","title":"Food Insecurity in the Global Youth: an Analysis of Income‐Related Inequalities","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; Ste. Anne's Hospital","funders":"","keywords":"Food security; Food insecurity; Odds; Inequality; Economic inequality; Population; Unemployment; Logistic regression; Demography; Economics; Socioeconomics; Geography; Agriculture; Economic growth; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001552374,0.0003861437,0.0004486726,0.003383126,0.0003742604,0.0008226854,0.0002864319,0.0003008862,0.001240188],"category_scores_gemma":[0.001815979,0.0001714154,0.001111047,0.005231618,0.0004296401,0.0008179048,0.001524849,0.0006741922,0.0001107457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003370997,"about_ca_system_score_gemma":0.0004253906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418956,"about_ca_topic_score_gemma":0.01327982,"domain_scores_codex":[0.9995083,0.0001711814,0.00004481414,0.00008597584,0.00008592328,0.0001038673],"domain_scores_gemma":[0.9992115,0.0001937825,0.0002720296,0.00006130255,0.0001010926,0.0001602077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003850961,0.00001349484,0.9969554,0.00002112998,0.00009924426,0.0000444242,0.0002388863,0.00008499691,0.00004744435,0.0001217088,0.0001262961,0.002208457],"study_design_scores_gemma":[0.000001519041,0.00003518313,0.9984342,0.00002145451,0.00004397618,0.00006638945,0.0005871272,0.0004702848,0.00002077137,0.00006864709,0.0002478446,0.000002495284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968925,0.000910894,0.0003356359,0.0001290116,0.000008042422,0.00001645658,0.0009980538,0.000004792426,0.0007045694],"genre_scores_gemma":[0.9981938,0.0004122824,0.0002938763,0.000022233,0.00001185721,0.00002664835,0.0009465545,0.000003972814,0.00008882386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418956,"threshold_uncertainty_score":0.02821398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2489511631831072,"score_gpt":0.46782464583878,"score_spread":0.2188734826556728,"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."}}