{"id":"W2888416241","doi":"10.1002/ecs2.2371","title":"Sex‐specific seasonal variation in puma and snow leopard home range utilization","year":2018,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bonneville Power Administration; Disney Conservation Fund; California Department of Fish and Wildlife; U.S. Forest Service; Whitley Fund for Nature; Columbus Zoo and Aquarium; Washington State University; Washington Department of Fish and Wildlife; National Science Foundation; U.S. Department of Transportation; U.S. Department of Energy; Bombardier","keywords":"Snow leopard; Home range; Predation; Territoriality; Ecology; Biology; Range (aeronautics); Panthera; Leopard; Seasonal breeder; Reproduction; Zoology; Habitat","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":[0.0002033797,0.000158652,0.0001806379,0.0008319276,0.0001831696,0.000291023,0.0001951165,0.0002028281,0.001369374],"category_scores_gemma":[0.0004960184,0.0001356573,0.0001650607,0.0003019175,0.0002342443,0.0001939589,0.0002315751,0.0001833276,0.0001877056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538629,"about_ca_system_score_gemma":0.00005538843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034167,"about_ca_topic_score_gemma":0.00694815,"domain_scores_codex":[0.999892,0.0000232467,0.000008811967,0.00003774162,0.00001548126,0.00002270053],"domain_scores_gemma":[0.9994372,0.0001098235,0.0002591037,0.00004386902,0.00005101043,0.00009905723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000226738,0.00004644491,0.968603,0.00001816545,0.00007045404,0.000124575,0.0004067945,0.00007183766,0.02649642,0.00002510701,0.00009676629,0.003813709],"study_design_scores_gemma":[4.085804e-7,0.00001938438,0.999712,5.661498e-7,0.0000022302,0.00004027922,0.00004326488,0.0000355606,0.0001142912,0.000002703939,0.00002869258,5.813448e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997076,0.00002756313,0.00002737206,0.000001877226,5.539151e-7,0.00000122374,0.00006578388,0.000002762243,0.0001651718],"genre_scores_gemma":[0.9996448,0.00001457787,0.00006242254,0.000003226286,0.000001667914,0.000004435982,0.0001245952,0.000001646817,0.0001427521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002034167,"threshold_uncertainty_score":0.004581034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755169077429033,"score_gpt":0.2178214054207151,"score_spread":0.2002697146464247,"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."}}