{"id":"W4406104241","doi":"10.1002/ece3.70802","title":"Tracking the Ghosts of the Himalayas: Snow Leopard Conservation Insights From Satellite Collar Data","year":2025,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"WWF Nepal","keywords":"Snow leopard; Home range; Geography; Range (aeronautics); Ecology; Physical geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003244847,0.0001518296,0.0000830481,0.0008582895,0.0002897017,0.0005871382,0.0001844935,0.0001335269,0.0006099423],"category_scores_gemma":[0.0008856175,0.0001172391,0.000125871,0.000770066,0.0002918366,0.0004762865,0.0004995393,0.0001733982,0.0001105059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002906426,"about_ca_system_score_gemma":0.0003782971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130776,"about_ca_topic_score_gemma":0.08376894,"domain_scores_codex":[0.9998429,0.00005457733,0.000007700648,0.00004165612,0.00002447422,0.00002863027],"domain_scores_gemma":[0.9995603,0.0001277847,0.0001637442,0.00005876105,0.0000486713,0.00004081847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005250473,0.00002911882,0.9652321,0.0000522913,0.0000714612,0.0004869335,0.00260419,0.00126481,0.002887269,0.00022634,0.0003222516,0.02677079],"study_design_scores_gemma":[0.000002855648,0.00004946728,0.9874536,0.00003799159,0.00003938756,0.0003699295,0.003291711,0.006504948,0.0006399705,0.0002348936,0.001365516,0.000009627589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983021,0.00007460917,0.0005901055,0.00003441843,0.000002076273,0.000005607455,0.0002621248,0.000008642348,0.0007203938],"genre_scores_gemma":[0.9976059,0.00007687125,0.001644693,0.000009655299,0.000002341122,0.00000427714,0.0003106082,0.000001576151,0.0003439075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02130776,"threshold_uncertainty_score":0.04236746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504687942799761,"score_gpt":0.2252443963721667,"score_spread":0.210197516944169,"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."}}