{"id":"W4410240480","doi":"10.1038/s44358-025-00054-9","title":"Indigenous-led conservation improves outcomes in protected areas","year":2025,"lang":"en","type":"article","venue":"Nature Reviews Biodiversity","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Indigenous; Environmental planning; Geography; Environmental resource management; Environmental science; Ecology; Biology","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":[0.003232162,0.0002444919,0.000411962,0.0008908462,0.001278432,0.001640178,0.000890951,0.0007587178,0.01977819],"category_scores_gemma":[0.01189814,0.00009514642,0.0005299175,0.0008421274,0.001500515,0.001434154,0.003358852,0.001110106,0.0005874909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852814,"about_ca_system_score_gemma":0.004579645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0171634,"about_ca_topic_score_gemma":0.05608349,"domain_scores_codex":[0.9979901,0.000782429,0.00005675431,0.0001555963,0.000330653,0.000684526],"domain_scores_gemma":[0.9951321,0.001160414,0.001098177,0.0004003376,0.0005803516,0.001628632],"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":[0.001121223,0.005777857,0.1316877,0.002480957,0.001007827,0.0004772132,0.006645701,0.002662641,0.0009700643,0.02472979,0.04224635,0.7801927],"study_design_scores_gemma":[0.0004510792,0.002663264,0.8749009,0.003414604,0.0007916166,0.0004636718,0.00928503,0.001037918,0.00093406,0.04489905,0.06108806,0.00007083378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7937765,0.01317926,0.002433916,0.03909544,0.001410819,0.0002153779,0.0009219943,0.0001865343,0.1487802],"genre_scores_gemma":[0.9907065,0.003042756,0.0008774305,0.001526176,0.0002766509,0.00005149696,0.0001923531,0.00002190661,0.003304796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01977819,"threshold_uncertainty_score":0.06616467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492683558443813,"score_gpt":0.3118527004097472,"score_spread":0.2969258648253091,"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."}}