{"id":"W3139301940","doi":"10.1016/j.biocon.2021.109062","title":"Spatial population genetics reveals competitive imbalances threatening local apex predator persistence","year":2021,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Canada Excellence Research Chairs, Government of Canada; W. Garfield Weston Foundation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Wildlife Conservation Society","keywords":"Canis; Biology; Niche; Apex predator; Ecology; Niche differentiation; Population; Ecological niche; Gray wolf; Competition (biology); Geography; Predation; Habitat; 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":[0.0003807647,0.0001156559,0.0002590841,0.0006964201,0.0003323913,0.0005604252,0.0003033749,0.0003156583,0.002188667],"category_scores_gemma":[0.001064811,0.000132248,0.0001492226,0.0003307554,0.0006089139,0.0002389982,0.0004713361,0.0004071615,0.0001477023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004482664,"about_ca_system_score_gemma":0.0002646074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003087692,"about_ca_topic_score_gemma":0.008297211,"domain_scores_codex":[0.9998223,0.00003886373,0.00001001222,0.00005405366,0.0000363567,0.00003842879],"domain_scores_gemma":[0.9993017,0.0002204322,0.0001707585,0.00009143697,0.00007669096,0.0001390813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009770724,0.0004251107,0.4976065,0.00005007173,0.0002820525,0.0004087272,0.0009393308,0.003633473,0.4729273,0.004187434,0.0006570065,0.01790583],"study_design_scores_gemma":[0.00002760246,0.0001803583,0.986961,0.000004859548,0.00006919966,0.0003463899,0.0009578696,0.006044989,0.003419874,0.001645013,0.0003257721,0.00001701306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999509,0.000009056825,0.0001202887,0.00001735608,0.000001043335,7.773951e-7,0.00001613502,0.000004085428,0.0003222564],"genre_scores_gemma":[0.9998146,0.000004526431,0.00005255328,0.00001306473,9.554763e-7,0.000001094092,0.00001640959,0.00000213214,0.00009467912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003087692,"threshold_uncertainty_score":0.007321775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873441486442593,"score_gpt":0.2382206312982109,"score_spread":0.199486216433785,"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."}}