{"id":"W4402381668","doi":"10.1111/1365-2664.14746","title":"Landscape connectivity for African elephants in the world's largest transfrontier conservation area: A collaborative, multi‐scalar assessment","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Department for Environment, Food and Rural Affairs, UK Government","keywords":"Landscape connectivity; Geography; Environmental resource management; Blueprint; Scale (ratio); Ecology; Cartography; Physical geography; Biological dispersal; Environmental science; Population; 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":[0.00121656,0.000265023,0.000234899,0.003085993,0.0004440276,0.0006793606,0.0003104089,0.0003208906,0.001041882],"category_scores_gemma":[0.002677156,0.0001084228,0.0003545813,0.002201058,0.0003073622,0.0007826004,0.001254123,0.0001754318,0.00007084793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005950216,"about_ca_system_score_gemma":0.000245024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401892,"about_ca_topic_score_gemma":0.03114294,"domain_scores_codex":[0.9995396,0.0001732379,0.00003116646,0.0001087544,0.00008274272,0.00006456485],"domain_scores_gemma":[0.9989191,0.0002645762,0.0004458944,0.0001105918,0.0001843928,0.0000755982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004554243,0.0000280422,0.982199,0.00003165916,0.0001417476,0.0001324889,0.00106136,0.004757877,0.0008536141,0.0003263954,0.0001766551,0.01024554],"study_design_scores_gemma":[0.000004893795,0.00008638631,0.9800511,0.0000266543,0.00007268215,0.00009854276,0.001984352,0.01670353,0.0001893426,0.0002153567,0.0005598536,0.000007305537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983601,0.00003619384,0.0008884048,0.00002090737,7.207703e-7,0.00001955744,0.000306795,0.000007671049,0.0003595013],"genre_scores_gemma":[0.9982066,0.00002053421,0.001403353,0.000001983626,8.867984e-7,0.00002250303,0.0002568259,0.00000145785,0.00008573834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01401892,"threshold_uncertainty_score":0.02787465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268234563975369,"score_gpt":0.2771322305747599,"score_spread":0.2644498849350062,"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."}}