{"id":"W4225540796","doi":"10.1002/eap.2629","title":"Harvest and density‐dependent predation drive long‐term population decline in a northern ungulate","year":2022,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Ungulate; Ecology; Predation; Density dependence; Population; Population density; Population growth; Biology; Trophic level; Population decline; Apex predator; Context (archaeology); Population cycle; Population ecology; Trophic cascade; Population model; Predator; Habitat; Demography","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":[0.0004500984,0.0001143537,0.000186101,0.0003921446,0.0003598387,0.0003869623,0.000304699,0.0002942104,0.0006566613],"category_scores_gemma":[0.001157641,0.0001608256,0.0001899437,0.0002495835,0.0003276074,0.0002976714,0.0003600103,0.000222952,0.00006666889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119943,"about_ca_system_score_gemma":0.0002372479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02422619,"about_ca_topic_score_gemma":0.03868315,"domain_scores_codex":[0.9999356,0.00002158471,0.00000451818,0.00001676631,0.00001005868,0.00001143784],"domain_scores_gemma":[0.999645,0.0001353699,0.0001079314,0.00002332801,0.00004605895,0.00004223041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000189135,0.0001799057,0.9603397,0.00002642108,0.00009172577,0.0003370531,0.0006003602,0.01714442,0.009121694,0.000448153,0.0002152129,0.0113061],"study_design_scores_gemma":[0.000009096889,0.0001375018,0.8944909,0.00001244743,0.00005468725,0.0002140307,0.0006057511,0.1029562,0.0005639207,0.0007237802,0.0002150071,0.00001660897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996637,0.00001114229,0.0001517588,0.00001174425,2.951921e-7,6.898398e-7,0.00001653998,0.000003766126,0.0001405299],"genre_scores_gemma":[0.9997193,0.00001168539,0.0001483843,0.000006415527,6.835675e-7,0.000002368095,0.00004581756,0.000001337771,0.00006391994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02422619,"threshold_uncertainty_score":0.04817033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009401314200273875,"score_gpt":0.2257947248417922,"score_spread":0.2163934106415184,"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."}}