{"id":"W2969488783","doi":"10.1007/s00227-019-3553-x","title":"Spatial segregation contrasting dietary overlap: niche partitioning of two sympatric alcids during shifting resource availability","year":2019,"lang":"en","type":"article","venue":"Marine Biology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; World Wildlife Fund","keywords":"Biology; Foraging; Uria aalge; Ecology; Capelin; Niche differentiation; Niche; Predation; Sympatric speciation; Population; Interspecific competition; Habitat; Ecological niche; Biological dispersal; Seabird","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":[],"category_scores_codex":[0.0006298329,0.000136716,0.0003034461,0.00005936545,0.0001058691,0.000007605111,0.0002078051,0.0001034719,0.004893207],"category_scores_gemma":[0.0002970592,0.0001311698,0.0000840773,0.0002442531,0.0001879137,0.00009558391,0.0006278441,0.0001725946,0.0002213952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633194,"about_ca_system_score_gemma":0.00000974198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461664,"about_ca_topic_score_gemma":0.001127431,"domain_scores_codex":[0.9983994,0.0002599391,0.0004570295,0.0004233212,0.0001133691,0.0003469188],"domain_scores_gemma":[0.9990776,0.0002660188,0.0002773404,0.000320236,0.00001518331,0.00004367787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000309591,0.00003624378,0.9539015,0.00001316435,0.00002319625,0.000001642841,0.00007213098,0.001615535,0.03596087,0.00005450761,0.000009704446,0.00828055],"study_design_scores_gemma":[0.0005602916,0.0001233823,0.9863766,0.000005678329,0.00003169757,0.00000604019,0.00003778953,0.006433833,0.005424155,0.0005829524,0.0002770469,0.0001405323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886311,0.00001247662,0.0001293246,0.00007519863,0.0001190899,0.00019236,0.000004471772,0.0000363419,0.01079958],"genre_scores_gemma":[0.998845,0.000003617921,0.0005934935,0.00008243163,0.0000688213,0.00001170591,0.00004909597,0.00001121051,0.0003345617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03247511,"threshold_uncertainty_score":0.9960164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007177365424117579,"score_gpt":0.2283112146306921,"score_spread":0.2211338492065745,"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."}}