{"id":"W4416329820","doi":"10.1088/1748-9326/ae20ac","title":"Different places, different challenges: mapping global variations in agrifood-system burdens","year":2025,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; Killam Trusts; European Commission","keywords":"Food security; Agriculture; Biodiversity; Agricultural productivity; Indigenous; Poverty; Population; Climate change; Biodiversity hotspot","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003789699,0.0002616227,0.0002671184,0.00005002598,0.0003517188,0.00009187539,0.0004747733,0.0001304109,0.0001503678],"category_scores_gemma":[0.00002880666,0.0001001526,0.00009562733,0.0003701741,0.0001040103,0.00009270781,0.0004346571,0.0003874018,0.0001162466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472318,"about_ca_system_score_gemma":0.000006869404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001607911,"about_ca_topic_score_gemma":0.0008134178,"domain_scores_codex":[0.997132,0.0003843586,0.0003518844,0.0005794882,0.0007970328,0.0007552073],"domain_scores_gemma":[0.9993799,0.0002806672,0.00005375453,0.0001143498,0.000008379007,0.0001629591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002102083,0.00182993,0.6656038,0.0002193351,0.0003144394,0.0001956495,0.001607007,0.00007540956,0.1559372,0.01877713,0.0137425,0.1414873],"study_design_scores_gemma":[0.0003231144,0.00005771967,0.9881207,0.0001727731,0.000004735219,0.000003787857,0.002855358,0.0000519784,0.00046955,0.0006106968,0.00711606,0.0002135518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884867,0.0007461128,0.00001585263,0.008473838,0.0001847685,0.0006111817,0.00008240023,0.00006021018,0.001338947],"genre_scores_gemma":[0.9982796,0.0005451951,0.0000284356,0.0002490699,0.000141521,0.0001649817,0.0001672689,0.000001456029,0.0004224978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3225168,"threshold_uncertainty_score":0.4084103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431320418704542,"score_gpt":0.2496957640843467,"score_spread":0.2153825598973013,"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."}}