{"id":"W4399916609","doi":"10.1111/ele.14456","title":"Population and community consequences of perceived risk from humans in wildlife","year":2024,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Environmental Biology; Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Wildlife; Ecology; Population; Geography; Environmental resource management; Biology; Environmental health; Environmental science; Medicine","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":[0.001111999,0.0001073769,0.000175031,0.0007203313,0.0001390952,0.0006696379,0.0002205203,0.00024773,0.001724988],"category_scores_gemma":[0.003235099,0.00006795773,0.0002391794,0.00045338,0.0004940543,0.0005891945,0.000690522,0.0002999193,0.00006829399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606903,"about_ca_system_score_gemma":0.00009098649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112706,"about_ca_topic_score_gemma":0.00227214,"domain_scores_codex":[0.9995854,0.0002233613,0.00002763511,0.00007813823,0.00006105169,0.00002445073],"domain_scores_gemma":[0.9972904,0.001160015,0.001031148,0.0001396801,0.0002228739,0.0001559928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002768347,0.0002031963,0.9148321,0.0006796811,0.001276184,0.0002419125,0.001320808,0.003976299,0.003067171,0.002634845,0.0005512656,0.07093968],"study_design_scores_gemma":[0.000007470823,0.0002342166,0.9885609,0.0001398842,0.0001636732,0.0002378868,0.001158313,0.002170567,0.0003542649,0.005961079,0.0009930882,0.0000187423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942146,0.001981844,0.001193765,0.000239305,0.00001278927,0.000009144656,0.0002642976,0.000007156398,0.002077167],"genre_scores_gemma":[0.9990238,0.0004866591,0.000245047,0.00002995182,0.000009642594,0.000004977262,0.00008203008,7.297172e-7,0.0001172109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001724988,"threshold_uncertainty_score":0.005880892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212874754534534,"score_gpt":0.2283007495916443,"score_spread":0.216172002046299,"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."}}