{"id":"W3101422810","doi":"10.3389/fsufs.2020.600363","title":"Quantitative Spatial Ecology to Promote Human-Wildlife Coexistence: A Tool for Integrated Landscape Management","year":2020,"lang":"en","type":"article","venue":"Frontiers in Sustainable Food Systems","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Agence Nationale de la Recherche; Université Laval","keywords":"Wildlife; Adaptive management; Wildlife management; Human–wildlife conflict; Ecology; Computer science; Environmental resource management; Landscape ecology; Herbivore; Range (aeronautics); Habitat; Environmental science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002778817,0.0008569391,0.0007845276,0.001266596,0.0003835176,0.001093716,0.001517981,0.0009205004,0.003851234],"category_scores_gemma":[0.008949434,0.0004599664,0.0007958952,0.0007560657,0.001300847,0.002498919,0.001465259,0.001015347,0.0002553974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429341,"about_ca_system_score_gemma":0.001068453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005417804,"about_ca_topic_score_gemma":0.003970746,"domain_scores_codex":[0.9994622,0.0003189314,0.00002386961,0.00007532365,0.00009823616,0.00002140785],"domain_scores_gemma":[0.9971405,0.001743558,0.000443484,0.0003378807,0.0001879388,0.0001466587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003374855,0.0001106376,0.004675962,0.0001006951,0.0000883629,0.00005064306,0.00008343626,0.8100815,0.001651705,0.1378242,0.001872079,0.04342706],"study_design_scores_gemma":[0.00001603851,0.00004186911,0.0006505855,0.00002444401,0.00001587477,0.00001744434,0.00003619015,0.8948125,0.0003051793,0.1012783,0.002784667,0.00001691849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01510839,0.0003212964,0.9774852,0.001423295,0.00007025965,0.00006278772,0.000201418,0.0008484438,0.004478803],"genre_scores_gemma":[0.5725583,0.0006925758,0.4236658,0.0004503538,0.0001052038,0.0003520618,0.0002788377,0.0002479109,0.001649122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005417804,"threshold_uncertainty_score":0.01469594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623673995890767,"score_gpt":0.244456332258391,"score_spread":0.2282195922994834,"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."}}