{"id":"W2080115065","doi":"10.1007/s10336-012-0836-0","title":"High-arctic seabird trophic variation revealed through long-term isotopic monitoring","year":2012,"lang":"en","type":"article","venue":"Journal für Ornithologie","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"","keywords":"Seabird; Trophic level; Larus; Foraging; Ecology; Biology; Arctic; Isotope analysis; Apex predator; Pelagic zone; Predation; Food web; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"category_scores_codex":[0.001059368,0.0002226348,0.0003313421,0.00007812733,0.0004006187,0.00007856732,0.0004677137,0.0001986948,0.005435858],"category_scores_gemma":[0.0004623487,0.0001827896,0.000147051,0.0003575606,0.0001454588,0.001049805,0.0002709362,0.0006612057,0.002152174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008292961,"about_ca_system_score_gemma":0.00001968889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003616031,"about_ca_topic_score_gemma":0.00001195705,"domain_scores_codex":[0.9976556,0.0003996743,0.0005008164,0.000272331,0.0004183932,0.0007532293],"domain_scores_gemma":[0.998882,0.0001654532,0.0003641793,0.000388156,0.00003448451,0.0001657135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001843376,0.0001273011,0.9922653,0.000007772683,0.0000467816,0.00009913819,0.0003553624,0.0005108427,0.00378144,0.00002756919,0.0003038891,0.002456099],"study_design_scores_gemma":[0.0004119794,0.0001124423,0.9961817,0.0000155776,0.0001157345,0.0005082027,0.00004442683,0.000008395627,0.0006523769,0.00135322,0.0003859787,0.0002099762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924738,0.000185049,0.00327995,0.0007339786,0.002155369,0.0001776135,0.000001086427,0.00006177676,0.0009314012],"genre_scores_gemma":[0.9869676,0.00033547,0.01014248,0.0002818054,0.001265914,0.00002162566,0.000002495453,0.00002710754,0.0009555425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006862527,"threshold_uncertainty_score":0.9986247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320199747398295,"score_gpt":0.3079102912946802,"score_spread":0.2758903165548507,"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."}}