{"id":"W4416716997","doi":"10.1038/s41586-025-09743-z","title":"Healthy forests safeguard traditional wild meat food systems in Amazonia","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Indigenous Health and Education","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health","funders":"","keywords":"Amazon rainforest; Biodiversity; Context (archaeology); Wildlife; Biomass (ecology); Agriculture; Per capita; Food safety; Brazil nut","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":[0.0005430663,0.0001916996,0.0002307838,0.0008223923,0.0006179918,0.0009420131,0.0004844829,0.0002087075,0.002388891],"category_scores_gemma":[0.002042364,0.0001348393,0.0002214276,0.001669013,0.0005674685,0.0009360447,0.001148431,0.000241147,0.0002589545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008021619,"about_ca_system_score_gemma":0.0009068046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05533853,"about_ca_topic_score_gemma":0.1307443,"domain_scores_codex":[0.9995629,0.0001259779,0.00002717548,0.00008065301,0.00007011693,0.0001331874],"domain_scores_gemma":[0.9988177,0.0001883932,0.0005675825,0.00008488446,0.0001981661,0.0001432285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001511973,0.00005282553,0.9334633,0.0006605057,0.0001623677,0.0006077199,0.00355185,0.0009712621,0.00388319,0.00226177,0.003602236,0.05063178],"study_design_scores_gemma":[0.000008017782,0.00003650781,0.9798225,0.0001619988,0.00003980889,0.0002842116,0.003370781,0.001881759,0.0002762655,0.001386717,0.01272043,0.00001103523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834945,0.002350966,0.001883525,0.001452098,0.00002061579,0.00003736178,0.005524869,0.00005668426,0.005179328],"genre_scores_gemma":[0.9974985,0.0002783226,0.001051879,0.000104399,0.000007977485,0.00001160705,0.0008973791,0.000007452468,0.0001424823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05533853,"threshold_uncertainty_score":0.1100329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0430400043803811,"score_gpt":0.4008702701530129,"score_spread":0.3578302657726318,"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."}}