{"id":"W2043089384","doi":"10.1016/s0022-3182(00)70523-1","title":"Private versus Public Relief: Use of Food Pantries versus Food Stamps among Poor Households","year":2000,"lang":"en","type":"article","venue":"Journal of Nutrition Education","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Food Stamp Program; Food stamps; Poverty; Food distribution; Economic shortage; Probit model; Probit; Food insecurity; Food security; Environmental health; Multinomial logistic regression; Business; Geography; Agriculture; Economics; Economic growth; Medicine; Government (linguistics); Welfare; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002815862,0.0002159519,0.0005381633,0.001127375,0.0008483733,0.001338144,0.0006254692,0.001678384,0.006866174],"category_scores_gemma":[0.01551826,0.0003686785,0.000892227,0.001216969,0.00135751,0.001780372,0.001496378,0.001246943,0.0003102432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006734658,"about_ca_system_score_gemma":0.000698425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02218959,"about_ca_topic_score_gemma":0.04351428,"domain_scores_codex":[0.9981121,0.001016637,0.0001689962,0.0001163895,0.000159404,0.0004264843],"domain_scores_gemma":[0.9899346,0.00544185,0.002853214,0.0002298915,0.0004142692,0.001126194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003427271,0.0003759805,0.9880619,0.00005674204,0.0001040114,0.00008935439,0.002240152,0.00007160065,0.0001409503,0.0002119659,0.0003131716,0.004906917],"study_design_scores_gemma":[0.0001162461,0.0008416398,0.9834744,0.00008536298,0.0002092876,0.0001569481,0.0139308,0.0004425282,0.0001012765,0.0002903184,0.0003328483,0.00001818452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984761,0.0002514455,0.00001602779,0.0004161886,0.000008029619,0.000008326367,0.00009710982,6.421829e-7,0.000726247],"genre_scores_gemma":[0.9996088,0.00009972757,0.00001563596,0.00008428731,0.0000121181,0.000004892896,0.00003381701,9.097174e-7,0.0001397899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02218959,"threshold_uncertainty_score":0.04412085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2405423019267776,"score_gpt":0.4214795398419829,"score_spread":0.1809372379152054,"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."}}