{"id":"W2147160327","doi":"10.5558/tfc85695-5","title":"Ecological forestry at National Wildlife Refuges: Experiences from Seney National Wildlife Refuge and Kirtland’s Warbler Wildlife Management Area, USA","year":2009,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Central Michigan University","keywords":"Wildlife; Geography; Wildlife refuge; Forest management; Forest ecology; Ecology; Endangered species; Ecosystem; Environmental resource management; Ecosystem management; Wildlife management; Beech; Disturbance (geology); Forestry; Habitat; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002849815,0.0003577376,0.0002496244,0.000487916,0.01386404,0.002884095,0.001311834,0.0009614954,0.00800541],"category_scores_gemma":[0.002111059,0.0002916007,0.0002147265,0.0009255722,0.002526155,0.001966884,0.004708017,0.002810407,0.0006145557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004653294,"about_ca_system_score_gemma":0.01160082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1889407,"about_ca_topic_score_gemma":0.7480631,"domain_scores_codex":[0.9981389,0.0008428899,0.00003432732,0.0001188233,0.0002888452,0.0005762288],"domain_scores_gemma":[0.997165,0.0002989172,0.0001278779,0.00004839582,0.0003198703,0.002039826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003362203,0.003779337,0.199086,0.0003982475,0.00009625814,0.008151054,0.4166073,0.0005445776,0.003268027,0.004947026,0.1683258,0.19446],"study_design_scores_gemma":[0.00003664749,0.0003872705,0.09796827,0.000223173,0.00001817311,0.0007156529,0.7203961,0.0002114171,0.0002773505,0.0003967354,0.1793277,0.00004143436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946853,0.00132133,0.0002475778,0.01682202,0.0003501704,0.0001143348,0.0002820092,0.00002935177,0.0339803],"genre_scores_gemma":[0.9609455,0.002325976,0.001261268,0.008449456,0.00008956261,0.0001719621,0.0005400591,0.00005552229,0.02616064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1889407,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794472249397412,"score_gpt":0.2466694706315062,"score_spread":0.228724748137532,"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."}}