{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000200562,0.00007064828,0.00007470133,0.000009135893,0.0001026981,0.00002020302,0.00006495963,0.00008206828,0.009177068],"category_scores_gemma":[0.00002204685,0.00007388995,0.0000109975,0.0001588652,0.00009196329,0.0002663526,0.00004509873,0.00006169976,0.001348754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007898171,"about_ca_system_score_gemma":0.000007533907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007061321,"about_ca_topic_score_gemma":0.001730089,"domain_scores_codex":[0.9993842,0.00005545996,0.0001141414,0.0002146691,0.00009398022,0.000137572],"domain_scores_gemma":[0.9997774,0.00003877429,0.00004210686,0.00009981058,0.000006605701,0.00003527444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002508345,0.00003587497,0.9628956,0.000002094037,0.00000263573,0.000001957178,0.0004829595,0.00003741328,0.0001207913,0.0003262903,0.01995393,0.01611536],"study_design_scores_gemma":[0.0003429617,0.00004577085,0.9844003,0.000005711974,0.000002371705,0.000002922001,0.00003937383,0.00373299,0.00004642625,0.001608552,0.009686059,0.00008659419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796892,0.00004795173,0.0007381703,0.0004978955,0.0001699636,0.0001195135,0.000002102325,0.00002524369,0.01871],"genre_scores_gemma":[0.997632,0.00003721447,0.0004994569,0.0003267135,0.00009373249,0.000013413,0.000008342956,0.000006354475,0.001382755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02150465,"threshold_uncertainty_score":0.9994288,"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."}}