{"id":"W2058176471","doi":"10.14430/arctic129","title":"Adapting to Climate Change in the Southwest Yukon: Locally Identified Research and Monitoring Needs to Support Decision Making on Sustainable Forest Management","year":2009,"lang":"en","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Environmental resource management; Climate change; Forest management; Context (archaeology); Adaptive management; Sustainable forest management; Community forestry; Environmental planning; Business; Sustainable management; Plan (archaeology); Geography; Sustainability; Environmental science; Forestry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004226298,0.0001220242,0.0001798386,0.0004760639,0.003526989,0.00004761973,0.0002472645,0.00007860791,0.00002612121],"category_scores_gemma":[0.0002130707,0.00009452092,0.00001999317,0.0007165207,0.0000184448,0.0000805681,0.0005530677,0.0004648417,0.0002830768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003880657,"about_ca_system_score_gemma":0.00003194777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919963,"about_ca_topic_score_gemma":0.01905793,"domain_scores_codex":[0.9970751,0.0002040035,0.0003376192,0.0002810454,0.0003356215,0.001766548],"domain_scores_gemma":[0.9987436,0.0006036836,0.00005144351,0.0003113383,0.0002020343,0.00008789376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006849731,0.0001882384,0.6207701,0.0005051991,0.00001923661,0.0005804542,0.3123683,0.0003742157,0.000006907572,0.02922063,0.0005404096,0.03474136],"study_design_scores_gemma":[0.0003610836,0.001116094,0.7062739,0.0005979436,0.00000772785,0.000002559538,0.2877008,0.0000292867,5.870806e-7,0.002080559,0.001721593,0.0001078726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836623,0.00004179504,0.00005155398,0.004692448,0.0003113322,0.002692837,0.000001258074,0.00002437561,0.008522079],"genre_scores_gemma":[0.9957509,0.00008441653,0.0003905147,0.002526239,0.0003228468,0.0004754024,0.000001359942,0.00001649684,0.0004318037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08550383,"threshold_uncertainty_score":0.9988417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442361108034912,"score_gpt":0.4685521518516983,"score_spread":0.3243160410482071,"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."}}