{"id":"W4408847817","doi":"10.1038/d41586-025-00898-3","title":"The full lethal impact of massive cuts to international food aid","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nutrition International","funders":"","keywords":"Environmental science","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":[0.00108275,0.0004130615,0.0002342921,0.0005170282,0.002600725,0.002243849,0.0005749057,0.003123938,0.01867558],"category_scores_gemma":[0.003342434,0.0001655209,0.0005775454,0.000434128,0.002416546,0.001260064,0.003325033,0.003381234,0.001779642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002004079,"about_ca_system_score_gemma":0.002731438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107226,"about_ca_topic_score_gemma":0.03391962,"domain_scores_codex":[0.9988911,0.0003048173,0.00002466757,0.00005865135,0.0002094978,0.0005113367],"domain_scores_gemma":[0.9986783,0.0002811663,0.0001915547,0.0001040962,0.0002302687,0.0005146648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001733194,0.0007777005,0.05650331,0.000471077,0.0004064897,0.01043994,0.004672486,0.005326486,0.007047358,0.143248,0.3971672,0.3722068],"study_design_scores_gemma":[0.00008828854,0.001347577,0.09419567,0.00208166,0.0001323702,0.005635611,0.02828111,0.00110164,0.002520145,0.09861258,0.7658634,0.000140016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2594338,0.01259127,0.002342284,0.2141781,0.01017896,0.00007459336,0.001592881,0.0001611916,0.4994469],"genre_scores_gemma":[0.8782996,0.01181014,0.001239317,0.0503087,0.002124256,0.00006552719,0.0003200326,0.00007021981,0.05576222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01867558,"threshold_uncertainty_score":0.0624761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006649105688569889,"score_gpt":0.3166812492522031,"score_spread":0.3100321435636332,"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."}}