{"id":"W2326019706","doi":"10.5751/es-04636-170119","title":"Power and Conflict in Adaptive Management: Analyzing the Discourse of Riparian Management on Public Lands","year":2012,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Florida","keywords":"Riparian zone; Adaptive management; Environmental resource management; Power (physics); Conflict management; Public management; Environmental planning; Geography; Political science; Environmental science; Ecology; Public administration; Habitat; Biology","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":[0.0004556575,0.00007073476,0.00008436027,0.00002333756,0.0002084909,0.00001142522,0.00009213006,0.00004288473,0.0002341593],"category_scores_gemma":[0.000002192753,0.0000505899,0.00003414338,0.0001155025,0.0003199276,0.00007715145,0.0003080615,0.00007077339,0.00001108919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003850367,"about_ca_system_score_gemma":9.27866e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003363397,"about_ca_topic_score_gemma":0.00007150741,"domain_scores_codex":[0.9994512,0.00005271672,0.0000890196,0.0001396776,0.00007865806,0.0001887868],"domain_scores_gemma":[0.9997705,0.00003729682,0.00004575417,0.0001047307,0.000002190407,0.00003952827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008364054,0.00008636197,0.9909428,0.000008416955,0.00007935471,0.000001097215,0.004542829,0.00001681452,0.000001282414,0.00228507,0.001031235,0.0009964203],"study_design_scores_gemma":[0.0003900777,0.0000326332,0.9757413,0.000003674433,0.00003036781,3.004057e-7,0.009905007,0.0001575346,0.000001245347,0.0000700266,0.01360911,0.00005873241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620779,0.00008140863,0.00002922168,0.001447235,0.00005289032,0.0001921619,0.000002163632,0.000005793067,0.03611123],"genre_scores_gemma":[0.9979749,0.0002974045,0.0001301783,0.0004989001,0.000007783097,0.000007900157,0.000002170789,0.000002145406,0.001078604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03589702,"threshold_uncertainty_score":0.2563881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448789197113716,"score_gpt":0.2193942507951399,"score_spread":0.2049063588240027,"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."}}