{"id":"W4211190336","doi":"10.1111/ele.13975","title":"Balancing food acquisition and predation risk drives demographic changes in snowshoe hare population cycles","year":2022,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; The Scarborough Hospital; Yukon Department of Environment; University of Toronto; Trent University; McGill University; University of Alberta","funders":"W. Garfield Weston Foundation; University of Alberta; Association of Canadian Universities for Northern Studies; Natural Sciences and Engineering Research Council of Canada; Association of Canadian Universities for Research in Astronomy","keywords":"Predation; Foraging; Biology; Snowshoe hare; Ecology; Population cycle; Reproduction; Population; Predator; Demography","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":[0.0006549478,0.00007902605,0.0001488442,0.0001569728,0.0003017684,0.0005789304,0.0001799252,0.001085341,0.001779303],"category_scores_gemma":[0.003615819,0.0001026276,0.00008968678,0.0001720143,0.0004335674,0.0003877495,0.0002412917,0.0005611144,0.0006564244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724887,"about_ca_system_score_gemma":0.0001781799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621046,"about_ca_topic_score_gemma":0.00344604,"domain_scores_codex":[0.9997808,0.00009969794,0.00001295569,0.00004411506,0.000038805,0.00002353014],"domain_scores_gemma":[0.9979417,0.0009561435,0.000388468,0.0001639549,0.000342931,0.000206866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001781774,0.0005445121,0.7822322,0.000148275,0.00008509044,0.002690862,0.001189769,0.00114725,0.03257506,0.001787489,0.03355175,0.1422659],"study_design_scores_gemma":[0.00005724546,0.0005076019,0.9734942,0.00005125224,0.00003099946,0.001635122,0.001103548,0.003971747,0.002548364,0.004327205,0.01223925,0.00003345508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751834,0.000685425,0.0005938527,0.01743254,0.0002200264,0.00001278899,0.0002333999,0.00005702712,0.005581431],"genre_scores_gemma":[0.9905953,0.0003221399,0.0003227072,0.006566118,0.0003793615,0.00001939501,0.00007549948,0.000009659353,0.00170964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001779303,"threshold_uncertainty_score":0.005952299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006164838359245799,"score_gpt":0.1906245093472829,"score_spread":0.1844596709880371,"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."}}