{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562338,0.0001317072,0.0001648342,0.0006794374,0.002105752,0.001708259,0.000550097,0.0005125898,0.00244903],"category_scores_gemma":[0.002440896,0.00008804555,0.0001528868,0.001070631,0.0006259752,0.002002512,0.002072237,0.0007102618,0.00009890211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359876,"about_ca_system_score_gemma":0.004041307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1053778,"about_ca_topic_score_gemma":0.5037566,"domain_scores_codex":[0.9995896,0.000161335,0.0000188643,0.00003819259,0.00004072005,0.0001513239],"domain_scores_gemma":[0.999019,0.0001447049,0.0001422801,0.0001018107,0.0001863963,0.0004058025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001513037,0.0002772213,0.5864543,0.0001519818,0.00007513305,0.0005416598,0.02428382,0.001316829,0.003427428,0.01210681,0.01901538,0.3521982],"study_design_scores_gemma":[0.000008955515,0.0001660104,0.8335977,0.0002844453,0.00003279977,0.0002988916,0.07177478,0.00122787,0.0004846695,0.004110764,0.08798021,0.00003303856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732726,0.002150545,0.000850187,0.009790848,0.0001234763,0.00003384845,0.0003296679,0.0000259606,0.01342295],"genre_scores_gemma":[0.9942451,0.001173098,0.001812195,0.0009017651,0.00002611645,0.00003156058,0.0002953105,0.000005806404,0.001509179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1053778,"threshold_uncertainty_score":0.2095289,"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."}}