{"id":"W4388429965","doi":"10.55203/ucsk4113","title":"Poverty and food insecurity","year":2023,"lang":"en","type":"report","venue":"","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food insecurity; Poverty; Food security; Economics; Socioeconomics; Geography; Economic growth; Agriculture; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003195589,0.0002287227,0.0002264389,0.002244635,0.0009417202,0.0005622255,0.00028694,0.0004775683,0.02667293],"category_scores_gemma":[0.001453662,0.0002073674,0.0002715771,0.004806786,0.0001195751,0.000413349,0.0007064473,0.0003127711,0.002935115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460129,"about_ca_system_score_gemma":0.003778738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4655438,"about_ca_topic_score_gemma":0.6691464,"domain_scores_codex":[0.9997806,0.00002252906,0.00001251075,0.00001222967,0.0001143044,0.00005780621],"domain_scores_gemma":[0.999228,0.0001226172,0.00008432078,0.00002014748,0.0002760578,0.0002687912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001063802,0.00008510511,0.1348674,0.0006098942,0.00003213983,0.0001783879,0.000920875,0.00004843527,0.0001757006,0.0001937768,0.8307233,0.0320586],"study_design_scores_gemma":[0.00001452313,0.00004835452,0.8955944,0.000342171,0.00002297757,0.0001129991,0.0008098785,0.00002738591,0.0000425797,0.00006666925,0.1029092,0.00000878278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.2085915,0.07744992,0.000264827,0.07386576,0.006507529,0.0004720391,0.522558,0.0002460483,0.1100444],"genre_scores_gemma":[0.4501404,0.09050187,0.0008611589,0.009651028,0.006703141,0.0009734283,0.1927305,0.0001630689,0.2482754],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4655438,"threshold_uncertainty_score":0.9256681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5665021000676147,"score_gpt":0.5527442581938635,"score_spread":0.01375784187375118,"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."}}