{"id":"W4220962543","doi":"10.1002/ece3.8742","title":"Trophic niche partitioning between two prey and their incidental predators revealed various threats for an endangered species","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Environment Canada; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Université du Québec à Rimouski","keywords":"Predation; Endangered species; Niche; Trophic level; Ecology; Biology; Niche differentiation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002979596,0.0001794903,0.0001734665,0.0007591419,0.0006214029,0.0004215498,0.000150937,0.0001841896,0.001262141],"category_scores_gemma":[0.0005258436,0.0001024084,0.0001474851,0.0002405685,0.0002656071,0.0002690917,0.0004946466,0.0002035442,0.00009149147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002251787,"about_ca_system_score_gemma":0.0001215784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003857884,"about_ca_topic_score_gemma":0.01716897,"domain_scores_codex":[0.9998429,0.0000303976,0.00001247994,0.00004601419,0.00003184217,0.00003631787],"domain_scores_gemma":[0.9994798,0.0001051465,0.0002015443,0.00003185213,0.00007210291,0.0001094667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001276755,0.00003624811,0.9789429,0.00002239018,0.00005257708,0.0001991615,0.0008260216,0.00006454171,0.01623281,0.00008287674,0.00004078992,0.003372039],"study_design_scores_gemma":[5.158074e-7,0.00005404925,0.9981622,0.000003865631,0.00001243268,0.0002943528,0.0006782383,0.000199277,0.0004178517,0.0000322409,0.000143116,0.000001912499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999774,0.00002494198,0.00003551993,0.000003159191,4.72307e-7,4.6922e-7,0.00001422564,8.746159e-7,0.0001463992],"genre_scores_gemma":[0.9997336,0.000009789753,0.000101462,0.000004491437,5.545891e-7,0.000001270964,0.00003404777,6.001985e-7,0.0001140842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003857884,"threshold_uncertainty_score":0.007670879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176249169484823,"score_gpt":0.244716931647918,"score_spread":0.2270920146994357,"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."}}