{"id":"W4360975663","doi":"10.1002/ecs2.4485","title":"Global change risks a threatened species due to alteration of predator–prey dynamics","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Université du Québec à Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Compute Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Threatened species; Ecology; Climate change; Trophic cascade; Trophic level; Predation; Global change; Food web; Ecosystem; Boreal; Taiga; Land use, land-use change and forestry; Environmental science; Environmental change; Global warming; Land use; Biology; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001169817,0.00007589385,0.0001005498,0.00000762019,0.00007456715,0.00001147889,0.0001277921,0.0000676342,0.003303822],"category_scores_gemma":[0.00003281729,0.00007586804,0.00002828621,0.0003779743,0.00003829781,0.0001802768,0.0001163542,0.00003254228,0.002366356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487912,"about_ca_system_score_gemma":0.000007452978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004736428,"about_ca_topic_score_gemma":0.02121043,"domain_scores_codex":[0.9993839,0.00002992337,0.0001338011,0.0001790335,0.0001147272,0.0001585947],"domain_scores_gemma":[0.9997087,0.00002113784,0.00005235009,0.0001620335,0.000008267785,0.00004751552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002148207,0.00002493261,0.9613351,0.000005240557,0.000008199545,0.00000643786,0.0002236827,0.001031579,0.00002943849,0.0004620388,0.03011322,0.006738696],"study_design_scores_gemma":[0.0001153263,0.00006417259,0.9881641,0.000006801058,0.000006274006,0.000002060977,0.00009163385,0.009683561,0.00005714915,0.001258897,0.0004739803,0.00007608115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814817,0.000007660217,0.0004221406,0.001103677,0.0001947453,0.0002448112,0.00006457812,0.00006462088,0.01641612],"genre_scores_gemma":[0.9973307,0.00001166441,0.0003859004,0.0003730239,0.00005281264,0.00004955385,0.00004540939,0.000005666971,0.001745319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02963924,"threshold_uncertainty_score":0.9984104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03875020268686662,"score_gpt":0.2626737805423369,"score_spread":0.2239235778554703,"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."}}