{"id":"W1857042800","doi":"10.1139/cjz-2015-0025","title":"Quantifying trophic niche spaces of small mammals using stable isotopes (δ<sup>15</sup>N and δ<sup>13</sup>C) at two scales across Alaska","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Museum of the North, University of Alaska; University of Alaska Anchorage; Alaska Department of Fish and Game; Massachusetts Department of Fish and Game; National Science Foundation","keywords":"Niche; Biology; Sympatric speciation; Interspecific competition; Niche differentiation; Shrew; Ecology; Niche segregation; Competition (biology); Sympatry; Character displacement; Ecological niche; Trophic level; Insectivora; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003780642,0.0002430085,0.0001560515,0.0008708109,0.0004343934,0.0003193384,0.0002248709,0.0001583128,0.0004219265],"category_scores_gemma":[0.000520098,0.0002029028,0.000206848,0.0004587576,0.0002777581,0.000324165,0.0004142069,0.0001213521,0.00005846752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003874806,"about_ca_system_score_gemma":0.0002984281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03138407,"about_ca_topic_score_gemma":0.1110328,"domain_scores_codex":[0.9998667,0.00002625593,0.00001024566,0.00006250861,0.00002239428,0.00001178433],"domain_scores_gemma":[0.9997746,0.00006671758,0.0000815177,0.00002222919,0.00002843436,0.00002646755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000925901,0.00002284802,0.9710721,0.00002357496,0.00007252269,0.00002823637,0.0003782245,0.002838542,0.01312302,0.0001168187,0.00003021086,0.01220132],"study_design_scores_gemma":[0.000002397549,0.00004629925,0.9881755,0.000007829536,0.0000369958,0.00006093245,0.0003716854,0.009177076,0.001585204,0.0002815095,0.0002449987,0.000009550575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988884,0.00005659603,0.0007815828,0.000002639192,4.008187e-7,0.000001661574,0.00005418683,0.000006547705,0.0002080413],"genre_scores_gemma":[0.9979412,0.00004284459,0.0018216,0.000002346704,6.628051e-7,0.000004011872,0.0001121074,0.000002851691,0.00007226947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03138407,"threshold_uncertainty_score":0.06240278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04484004762542219,"score_gpt":0.2730234312959928,"score_spread":0.2281833836705706,"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."}}