{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001374656,0.0001356415,0.000354993,0.0002314302,0.003160748,0.0000436652,0.0003128307,0.0004801493,0.00004461835],"category_scores_gemma":[0.0001003891,0.0001044986,0.0001025229,0.0008853086,0.0001290602,0.0002048309,0.000004386864,0.0005056967,0.00009000977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004825798,"about_ca_system_score_gemma":0.005019413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08952668,"about_ca_topic_score_gemma":0.6074969,"domain_scores_codex":[0.9983349,0.0005446351,0.0002851488,0.0002717156,0.0002127465,0.0003508698],"domain_scores_gemma":[0.9992249,0.0000998043,0.0001827136,0.0002076625,0.0002080387,0.00007689265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005347065,0.000573479,0.7364212,0.0006715182,0.00005893077,0.000006570986,0.2225668,1.024054e-7,0.00002369089,0.01960653,0.005367337,0.01465045],"study_design_scores_gemma":[0.0002064242,0.0000123108,0.1497167,0.00009055779,0.00002035276,1.559422e-7,0.0006511732,3.449794e-7,0.00003634333,0.0003842118,0.8487709,0.0001105623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9441224,0.01445948,0.00001403411,0.004963389,0.00141196,0.004995066,0.00002721546,0.0001141541,0.02989226],"genre_scores_gemma":[0.436065,0.4860269,0.004083249,0.01105046,0.0007227205,0.00009838575,0.0003476827,0.00002504329,0.06158047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8434035,"threshold_uncertainty_score":0.998137,"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."}}