{"id":"W2405555489","doi":"10.5849/jof.15-050","title":"The Next 50 Years: Opportunities for Diversifying the Ecological Representation of the National Wilderness Preservation System within the Contiguous United States","year":2015,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Parks and Wilderness Society","funders":"","keywords":"Wilderness; Wilderness area; Geography; National park; Diversity (politics); Environmental resource management; Ecology; Land management; Habitat; Land use; Environmental planning; Political science; Environmental science; Archaeology; Law; 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":[],"consensus_categories":[],"category_scores_codex":[0.001344164,0.00005529937,0.00008811,0.00001702026,0.0004491277,0.0000423649,0.0004619114,0.00004227952,0.000004173786],"category_scores_gemma":[0.00078779,0.00002250161,0.00006598604,0.0001206973,0.0004439583,0.000247904,0.0001539532,0.000142844,9.667102e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045225,"about_ca_system_score_gemma":0.0000492791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004905584,"about_ca_topic_score_gemma":0.0001593901,"domain_scores_codex":[0.9989722,0.0002075842,0.0003064257,0.00005625311,0.0003705767,0.00008701041],"domain_scores_gemma":[0.9982004,0.0008714915,0.0006239821,0.0001080639,0.0001730144,0.00002302427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004385902,0.0001241914,0.5184541,0.0000393113,0.0003438511,0.000006316899,0.0111079,0.4045279,0.0001157527,0.03042156,0.03379789,0.0006225831],"study_design_scores_gemma":[0.0007152046,0.0001672338,0.858539,0.00004150992,0.00007838045,0.00003988394,0.0589047,0.05509174,0.0000514873,0.02341324,0.002888931,0.00006873657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917371,0.00006372358,0.0003409332,0.006834998,0.0003375124,0.0002290052,0.000007728405,0.000004107761,0.0004448438],"genre_scores_gemma":[0.9992183,0.00003802318,0.0001108063,0.0002267378,0.00005309717,0.0000139169,0.000002955761,0.000003234571,0.0003329423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3494362,"threshold_uncertainty_score":0.3454373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349822696623732,"score_gpt":0.2949218034864229,"score_spread":0.1599395338240498,"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."}}