{"id":"W4389938084","doi":"10.1038/s43016-023-00885-9","title":"The state of food systems worldwide in the countdown to 2030","year":2023,"lang":"en","type":"article","venue":"Nature Food","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Consortium of International Agricultural Research Centers; Bundesamt für Landwirtschaft; David R. Atkinson Center for a Sustainable Future , Cornell University; Bloomberg Philanthropies; Cornell Atkinson Center for Sustainability, Cornell University; Johns Hopkins University; Ministerie van Buitenlandse Zaken; Ohio State University; United States Agency for International Development","keywords":"Food systems; Countdown; Sustainability; Equity (law); Livelihood; Business; Corporate governance; Food security; Environmental resource management; Environmental economics; Environmental planning; Geography; Political science; Economics; Engineering; Agriculture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002371291,0.0004411953,0.000266211,0.003232592,0.0008548647,0.004764898,0.0006001733,0.0006742438,0.002972728],"category_scores_gemma":[0.004473962,0.0001408713,0.0003763479,0.006686346,0.0008141816,0.005852513,0.002442154,0.0009746255,0.0004326387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003966914,"about_ca_system_score_gemma":0.002208634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648495,"about_ca_topic_score_gemma":0.02500631,"domain_scores_codex":[0.9989789,0.0002007466,0.00008100212,0.0001242445,0.0003483687,0.0002668726],"domain_scores_gemma":[0.9982874,0.0002625733,0.0005760986,0.0001069265,0.0005342644,0.0002327582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003790605,0.0001050275,0.3278017,0.0008680791,0.0002283655,0.0007922352,0.006060123,0.005691007,0.002537669,0.1845864,0.03938429,0.431566],"study_design_scores_gemma":[0.00000877718,0.0002567736,0.6393027,0.0009020698,0.00007155746,0.0007148238,0.01193957,0.002851614,0.001656958,0.04126528,0.3009193,0.0001104841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7228878,0.02242981,0.0080477,0.02821966,0.000984702,0.00009056975,0.01961698,0.0004625464,0.1972603],"genre_scores_gemma":[0.9777051,0.004835953,0.005271913,0.001275388,0.00007052931,0.0001092213,0.006591027,0.00004604783,0.00409481],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01648495,"threshold_uncertainty_score":0.03277797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005780929294250482,"score_gpt":0.2250978726523079,"score_spread":0.2193169433580574,"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."}}