{"id":"W4406886010","doi":"10.1111/ddi.13945","title":"Potential Landscapes for Conservation of the Black‐Tailed Prairie Dog Ecosystem","year":2025,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Liber Ero Foundation; Western Association of Fish and Wildlife Agencies; Kansas Department of Wildlife and Parks; Agricultural Research Service; Wildlife Conservation Society; Colorado State University; U.S. Department of Agriculture; Office of Experimental Program to Stimulate Competitive Research; National Science Foundation","keywords":"Geography; Cynomys ludovicianus; Ecosystem; Climate change; Conservation status; Ecology; Range (aeronautics); Environmental resource management; Ecosystem management; Habitat; Prairie dog; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005667801,0.0001577521,0.0001286002,0.001121728,0.0007422111,0.001633234,0.0003061803,0.0002592326,0.00346671],"category_scores_gemma":[0.00133973,0.0001238456,0.0002104044,0.000825737,0.0005169144,0.0008813579,0.001243437,0.000247273,0.00008554229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000818718,"about_ca_system_score_gemma":0.0006033904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006818018,"about_ca_topic_score_gemma":0.04785526,"domain_scores_codex":[0.9996984,0.0001360188,0.0000101186,0.00004922768,0.00004269623,0.00006353438],"domain_scores_gemma":[0.9994752,0.0001632726,0.0001591874,0.00003419247,0.00007765982,0.0000905515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001867696,0.0001945793,0.8313383,0.0002411519,0.0002585826,0.0007663669,0.001411219,0.04440301,0.007181054,0.01200529,0.00318081,0.09883276],"study_design_scores_gemma":[0.00003064698,0.0002351064,0.9077961,0.0001543004,0.0001112278,0.0005490862,0.008404644,0.06006268,0.0007238868,0.01333411,0.008556935,0.00004132691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867198,0.0003341157,0.004675291,0.0005594115,0.000005425762,0.00004035433,0.0005927617,0.00002279778,0.007050194],"genre_scores_gemma":[0.996894,0.00008121076,0.002609148,0.00002342066,0.000002141227,0.00001215755,0.0001427106,0.000001673955,0.0002335038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006818018,"threshold_uncertainty_score":0.01355666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009313877576524002,"score_gpt":0.2526713424572513,"score_spread":0.2433574648807273,"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."}}