{"id":"W2614114933","doi":"10.1111/emr.12257","title":"The Uunguu Monitoring and Evaluation Committee: Intercultural Governance of a Land and Sea Management Programme in the Kimberley, Australia","year":2017,"lang":"en","type":"article","venue":"Ecological Management & Restoration","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Nautilus Environmental","funders":"Australian Research Council","keywords":"Indigenous; Threatened species; Environmental resource management; Adaptive management; Traditional knowledge; Biodiversity; Corporate governance; Environmental planning; Land management; Monitoring and evaluation; Geography; Land use; Ecology; Political science; Business; 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":[0.137872,0.0004829887,0.0006516231,0.002388045,0.004075101,0.003836214,0.001831264,0.001575633,0.002954589],"category_scores_gemma":[0.1149811,0.0006878069,0.0007088553,0.002010706,0.00188364,0.001315386,0.004346082,0.002296922,0.0003190886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01389014,"about_ca_system_score_gemma":0.09303173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07218574,"about_ca_topic_score_gemma":0.104922,"domain_scores_codex":[0.8947524,0.07356299,0.00835186,0.002227779,0.01607521,0.005029666],"domain_scores_gemma":[0.8467844,0.04521468,0.01993258,0.008293399,0.05625074,0.02352417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.004080092,0.006136572,0.1865153,0.01530685,0.0007455057,0.0008986951,0.05238984,0.004270801,0.007685191,0.009318862,0.1076597,0.6049927],"study_design_scores_gemma":[0.00129623,0.007690438,0.7549478,0.01489671,0.0004280789,0.0001799707,0.0241969,0.003402229,0.003598262,0.001203907,0.1879489,0.0002105873],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6121927,0.01362499,0.01295478,0.08335835,0.001971684,0.1846331,0.00401257,0.0003649466,0.08688683],"genre_scores_gemma":[0.7926828,0.004129644,0.03462421,0.01065175,0.0004741604,0.134354,0.002176585,0.0001067077,0.02080015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.137872,"threshold_uncertainty_score":0.7291455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258921716859664,"score_gpt":0.4292102203653368,"score_spread":0.3033180486793704,"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."}}