{"id":"W1500704314","doi":"","title":"Prenatal and Child Nutrition Programs in Relation to Food Insecurity","year":2003,"lang":"en","type":"article","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":"Government (linguistics); Political science; Economic growth; Public health; Food security; Poverty; Agriculture; Economics; Medicine; Geography","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":[0.0008455967,0.0001523116,0.0002301747,0.0009244216,0.002015639,0.0009773341,0.0007461619,0.0008585852,0.003232998],"category_scores_gemma":[0.005334899,0.0002025085,0.0002599182,0.001423585,0.0007591473,0.0003551577,0.001036084,0.001404861,0.0000972635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00825895,"about_ca_system_score_gemma":0.01330911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7139898,"about_ca_topic_score_gemma":0.8592411,"domain_scores_codex":[0.9988172,0.0002231755,0.00002599444,0.00006223794,0.0001435854,0.0007279036],"domain_scores_gemma":[0.9965038,0.0005546751,0.0006806406,0.0000576345,0.0004451594,0.001758021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006060543,0.0005950877,0.9654167,0.00006135946,0.00004636202,0.0003558763,0.001754448,0.0001903953,0.0001660296,0.0009187472,0.00192752,0.02796135],"study_design_scores_gemma":[0.00001771302,0.0001100957,0.9961055,0.0001002538,0.00002070821,0.00008848499,0.001829116,0.00009443842,0.00007161676,0.0001228617,0.001434141,0.000005029225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894726,0.003155319,0.00003177296,0.003409028,0.00003129457,0.00002275845,0.000620524,0.000005925968,0.003250842],"genre_scores_gemma":[0.9962657,0.002111764,0.00007838353,0.0003141564,0.00001743298,0.00001952306,0.0002011589,0.000002718209,0.0009890085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7139898,"threshold_uncertainty_score":0.5753891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1752174080935683,"score_gpt":0.4072708174694987,"score_spread":0.2320534093759304,"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."}}