{"id":"W4293237332","doi":"10.1002/ecs2.4216","title":"Evidence of reduced abundance, density, and survival of coyotes under federal management for red wolf recovery","year":2022,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; University of Georgia","keywords":"Canis; Biology; Ecology; Population; Wildlife; Relative species abundance; Hybrid; Abundance (ecology); Introgression; Endangered species; Geography; Habitat; Demography; Agronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003271227,0.00006318316,0.0001282578,0.000008212899,0.000168671,0.000005926295,0.0001198419,0.00002727205,0.002017993],"category_scores_gemma":[0.00002704515,0.00006957501,0.00003581367,0.000103932,0.00008144352,0.0001236176,0.0002419226,0.00005301351,0.000007511412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006809869,"about_ca_system_score_gemma":0.00001072549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007666313,"about_ca_topic_score_gemma":0.0003784433,"domain_scores_codex":[0.9993247,0.00006117143,0.0001745221,0.000188717,0.0001363762,0.0001145158],"domain_scores_gemma":[0.9995624,0.0001473166,0.000125115,0.0001351329,0.000008205974,0.00002182149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001040153,0.0002718942,0.8601667,0.0001972914,0.00013846,0.000005928574,0.0003025616,0.009626696,0.008159602,0.002266413,0.1074621,0.01036218],"study_design_scores_gemma":[0.000371754,0.000249451,0.9904436,0.00002475309,0.00001976693,0.000002498954,0.0003699436,0.000391156,0.000973571,0.006482434,0.0005780396,0.00009301981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933559,0.00009610932,0.0002982054,0.0008462431,0.000192233,0.0002592811,0.000004672146,0.000009371191,0.004937948],"genre_scores_gemma":[0.9953178,0.00005107039,0.001686103,0.0002121009,0.000009504202,0.00004188923,0.000003935753,0.000006107928,0.002671452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302769,"threshold_uncertainty_score":0.9988943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232083476923247,"score_gpt":0.2382954906343621,"score_spread":0.2159746558651296,"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."}}