{"id":"W4412952320","doi":"10.1016/j.jneb.2025.05.057","title":"Gaps in Nutrition Assistance Programs for International Students in Institutions of Higher Education in the United States","year":2025,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Dietetics, Nutrition, and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nutrition Education; Political science; Medical education; Economic growth; Medicine; Economics; Law","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":[0.001885976,0.0001673847,0.0002612152,0.0008126523,0.001300432,0.001065499,0.0009183205,0.0008851743,0.005565131],"category_scores_gemma":[0.006906641,0.0001698565,0.0002541227,0.00123222,0.0003748971,0.001082393,0.002517394,0.0012128,0.0002928606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002308962,"about_ca_system_score_gemma":0.01246786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07247128,"about_ca_topic_score_gemma":0.1253998,"domain_scores_codex":[0.9985797,0.0003002129,0.0001188691,0.00009744265,0.0001740473,0.0007295992],"domain_scores_gemma":[0.9937019,0.001218259,0.001123195,0.00008690296,0.0008018289,0.003067849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001752477,0.001057958,0.9193126,0.0002700809,0.00004678225,0.0001973254,0.004011589,0.0002144127,0.0003102546,0.001136111,0.009118635,0.06414912],"study_design_scores_gemma":[0.0000287931,0.0001557247,0.9711089,0.0005281662,0.00003196936,0.0001015562,0.021006,0.0004315086,0.0001881183,0.0003878978,0.00602151,0.000009990262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769239,0.001253824,0.0001581086,0.01265777,0.0001202752,0.00004676285,0.0008170451,0.00001945193,0.008002924],"genre_scores_gemma":[0.9966691,0.0005416679,0.0002357965,0.001149767,0.00002802729,0.00003697666,0.0003685199,0.000004274925,0.0009659061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07247128,"threshold_uncertainty_score":0.1440989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07253574160706604,"score_gpt":0.4934525951171441,"score_spread":0.420916853510078,"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."}}