{"id":"W4414559734","doi":"10.1002/fes3.70142","title":"Reassessing Food Security: How a Data‐Efficient <scp>4As</scp> Framework and Machine Learning Uncover Hidden Patterns Across <scp>G20</scp> Nations","year":2025,"lang":"en","type":"article","venue":"Food and Energy Security","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Food security; Endowment; Cluster analysis; Natural resource; Agriculture; Index (typography); Empirical research; Bridge (graph theory)","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":[0.01211269,0.0007054234,0.0009119036,0.003858762,0.001125736,0.004665198,0.001850664,0.0008608781,0.003259381],"category_scores_gemma":[0.0321426,0.0003777447,0.001327639,0.004324904,0.001978772,0.00413649,0.003102191,0.002161137,0.0006038642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002627026,"about_ca_system_score_gemma":0.003217713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02681851,"about_ca_topic_score_gemma":0.0243901,"domain_scores_codex":[0.9943686,0.004274175,0.0001914587,0.0006372536,0.0003428198,0.0001856903],"domain_scores_gemma":[0.9852499,0.009240986,0.001347538,0.002187199,0.001543919,0.0004304494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002633558,0.0003085566,0.1922862,0.000456436,0.0007782197,0.0003963475,0.003181992,0.2153111,0.001412864,0.3214772,0.0197633,0.2443644],"study_design_scores_gemma":[0.00001274325,0.00006365284,0.01835802,0.0001821936,0.00004358126,0.00003421979,0.001543817,0.7657145,0.0004954927,0.2046446,0.008868154,0.00003907702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2601225,0.001108174,0.6993303,0.01791424,0.0002529696,0.0004146894,0.004119427,0.0009879759,0.01574964],"genre_scores_gemma":[0.7357534,0.0003377581,0.2589884,0.0004179962,0.00009271038,0.000270031,0.002573944,0.0001164207,0.001449204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02681851,"threshold_uncertainty_score":0.06405878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644864909408211,"score_gpt":0.2741095547634544,"score_spread":0.2476609056693723,"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."}}