{"id":"W4404706218","doi":"10.5751/es-15323-290425","title":"Defining cultural-ecological resilience through community and sovereign food systems","year":2024,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Food sovereignty; Food systems; Geography; Community resilience; Environmental resource management; Sovereignty; Ecology; Food security; Political science; Environmental planning; Environmental science; Politics; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004012897,0.0001688561,0.0002228461,0.00000251874,0.0009582488,0.0001538522,0.0001460882,0.0002997612,0.00005539346],"category_scores_gemma":[0.00004641898,0.00005541929,0.00007608893,0.0001704995,0.0002285095,0.0002047711,0.0002057835,0.000455764,0.00002165001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004101618,"about_ca_system_score_gemma":0.00001112684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008913434,"about_ca_topic_score_gemma":0.0002249666,"domain_scores_codex":[0.9988966,0.0002124916,0.0001904579,0.0002928317,0.0000998837,0.0003077488],"domain_scores_gemma":[0.9991229,0.0006803853,0.0000410895,0.0000383611,0.00003704134,0.00008020794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004038826,0.0003403047,0.1428153,0.0003251627,0.0004455878,0.00004258344,0.01619099,0.0000299853,0.00243431,0.7314141,0.09484049,0.01108079],"study_design_scores_gemma":[0.0001336276,0.0005211931,0.9527258,0.00004400385,0.00002548525,0.0001001531,0.01190687,0.0001502471,0.00006943734,0.0209291,0.01312328,0.0002707529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930902,0.003480576,0.000002757562,0.0004755387,0.0002819067,0.0001833782,0.00003221043,0.0001397291,0.00231374],"genre_scores_gemma":[0.9974179,0.001231417,0.000193222,0.0005722335,0.00009870785,0.00003368943,0.00005078187,8.448224e-7,0.0004011508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8099105,"threshold_uncertainty_score":0.7370172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270993843012076,"score_gpt":0.2352968215334116,"score_spread":0.2125868831032909,"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."}}