{"id":"W4410925819","doi":"10.1111/cobi.70053","title":"Rapid riparian ecosystem decline in Rocky Mountain National Park","year":2025,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Colorado Water Conservation Board; National Park Service; Nature Conservancy; Rocky Mountain Conservancy; U.S. Department of the Interior","keywords":"Riparian zone; National park; Geography; Ecosystem; Forestry; Environmental resource management; Environmental protection; Environmental science; Ecology; Archaeology; Habitat; 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":[0.0003602679,0.00006129799,0.0001045663,0.00005699422,0.0001328722,0.000004426518,0.000121949,0.0001088046,0.0005185388],"category_scores_gemma":[0.0001796236,0.00005720029,0.00001864633,0.0002148839,0.0001116761,0.00005266694,0.0001885329,0.00006580009,0.0002791967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147074,"about_ca_system_score_gemma":0.00002278454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002623654,"about_ca_topic_score_gemma":0.01273941,"domain_scores_codex":[0.9993888,0.0001027567,0.0001597552,0.0001819432,0.00004133962,0.0001254789],"domain_scores_gemma":[0.9996923,0.0001700881,0.00004692747,0.00006001229,0.00001711832,0.00001359439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002114371,0.00003051202,0.971548,0.000002718142,0.00001042638,8.971838e-7,0.0000351669,0.00002419387,0.0003233766,0.003305939,0.02417605,0.0005216241],"study_design_scores_gemma":[0.0003636968,0.0000221257,0.7581115,0.000003289021,0.000003059434,6.921301e-7,0.00006069653,0.0004669455,0.0001142945,0.004197988,0.2366035,0.00005227003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954707,0.00006906866,0.0001705656,0.02329098,0.0002355523,0.0001473236,0.00002344182,0.00002404572,0.02133198],"genre_scores_gemma":[0.9901136,0.00003497649,0.0002277231,0.00880849,0.00001252081,0.00001117162,0.00004470646,9.373773e-7,0.000745877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134365,"threshold_uncertainty_score":0.7108892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090574952202588,"score_gpt":0.2532848642625209,"score_spread":0.232379114740495,"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."}}