{"id":"W2147953520","doi":"10.1525/cond.2011.110004","title":"Seasonal and Age-Dependent Dietary Partitioning between the Great Black-backed and Herring Gulls","year":2011,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fonds en Fiducie pour la Faune du Nouveau-Brunswick; Killam Trusts; Dalhousie University; Bowdoin College","keywords":"Larus; Biology; Trophic level; Predation; Herring; Herring gull; Seabird; Feather; Isotope analysis; Ecology; Krill; Zoology; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001901923,0.0002396293,0.0002719316,0.0005365469,0.0003050507,0.0003265687,0.0001329229,0.0001769922,0.0005761365],"category_scores_gemma":[0.0004219335,0.0001808314,0.0001338839,0.0001823078,0.000358154,0.0002374722,0.0002770986,0.000205287,0.000157706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005446294,"about_ca_system_score_gemma":0.0001503083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02223929,"about_ca_topic_score_gemma":0.1011327,"domain_scores_codex":[0.9998899,0.00001891739,0.000007616787,0.00003577382,0.00001643122,0.00003139776],"domain_scores_gemma":[0.999615,0.00004309503,0.0001427895,0.00002204639,0.00004883502,0.0001282716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004427994,0.00004645181,0.9635059,0.00002110205,0.00007578389,0.0001410124,0.0007390178,0.00004685285,0.03045911,0.00002925993,0.00011617,0.004376667],"study_design_scores_gemma":[7.136966e-7,0.00002848674,0.9997563,6.529205e-7,0.000002751702,0.00002637632,0.0000732733,0.0000147413,0.00006439889,0.000002412954,0.00002891868,9.42252e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997543,0.00006655531,0.00001320854,0.000005795772,7.574523e-7,9.607986e-7,0.00005138868,0.000001469617,0.0001057542],"genre_scores_gemma":[0.9994395,0.00004554291,0.00007640025,0.00002360663,0.00000202242,0.000004333279,0.0001812333,0.000001973641,0.0002253666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02223929,"threshold_uncertainty_score":0.04421967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04258237937832093,"score_gpt":0.2508753842570675,"score_spread":0.2082930048787465,"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."}}