{"id":"W2958600565","doi":"10.1111/ele.13344","title":"Fear of humans as apex predators has landscape‐scale impacts from mountain lions to mice","year":2019,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":453,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Apex predator; Foraging; Predation; Ecology; Wildlife; Predator; Habitat; Geography; Trophic level; Scale (ratio); Trophic cascade; Biology; Cartography","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":[0.0008587456,0.0002789422,0.0003432056,0.0002012919,0.001425779,0.001054677,0.000524155,0.00840205,0.008432866],"category_scores_gemma":[0.004563429,0.0001589871,0.0003124424,0.0001614251,0.001013837,0.000685107,0.0003314549,0.005849716,0.00498563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281665,"about_ca_system_score_gemma":0.0006816896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003526707,"about_ca_topic_score_gemma":0.008496182,"domain_scores_codex":[0.9995816,0.0001646317,0.00003155129,0.00006306025,0.00009363996,0.00006544752],"domain_scores_gemma":[0.9974891,0.00147461,0.0001013182,0.0001362974,0.000553349,0.0002452645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002468014,0.0001389267,0.009375456,0.0000842122,0.00002990618,0.006256327,0.0003693163,0.00006146167,0.001367846,0.002135751,0.9339845,0.04594947],"study_design_scores_gemma":[0.000200277,0.0004936901,0.01658829,0.0004859189,0.00006124057,0.01438314,0.001970697,0.000877683,0.001520176,0.008913872,0.9544234,0.00008151696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01546647,0.002077357,0.0002853555,0.9430313,0.01152158,0.00002023544,0.00008245368,0.00009343173,0.02742186],"genre_scores_gemma":[0.1052591,0.002723189,0.0003563394,0.8255482,0.01755492,0.00005295169,0.00007481328,0.00003936117,0.04839122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008432866,"threshold_uncertainty_score":0.02821076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008705121872430334,"score_gpt":0.2099474765114802,"score_spread":0.2012423546390499,"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."}}