{"id":"W4318615583","doi":"10.1016/j.ecolind.2023.109938","title":"Tracing carbon flow and trophic structure of a coastal Arctic marine food web using highly branched isoprenoids and carbon, nitrogen and sulfur stable isotopes","year":2023,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; McGill University; Université Laval; Environment and Climate Change Canada; Fisheries and Oceans Canada; University of Windsor; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Marine Environmental Observation Prediction and Response Network; Polar Knowledge Canada; University of Manitoba; Canada Excellence Research Chairs, Government of Canada; Biodiversa+; Fisheries and Oceans Canada; AJCC Research Foundation","keywords":"Trophic level; Benthic zone; Pelagic zone; Food web; Ecology; Isotope analysis; Environmental science; Oceanography; Arctic; Food chain; Primary producers; Marine ecosystem; Ecosystem; Phytoplankton; Biology; Geology; Nutrient","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003214173,0.0002286175,0.0004836099,0.0001967901,0.0001555223,0.00002937972,0.0001540831,0.0002373346,0.0005340714],"category_scores_gemma":[0.000163287,0.0001912124,0.00004275831,0.0006819159,0.000582027,0.0000898074,0.0007011691,0.0002633036,0.000003107114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008709216,"about_ca_system_score_gemma":0.00002293089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003292283,"about_ca_topic_score_gemma":0.001968575,"domain_scores_codex":[0.9982312,0.0001849521,0.0003782059,0.0005264315,0.0002236691,0.000455546],"domain_scores_gemma":[0.9992816,0.0001758128,0.0001833206,0.0001851492,0.000008950667,0.0001651958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002760051,0.00004924912,0.9682193,0.0000319986,0.00007527588,0.00002446018,0.0002481033,0.0006957454,0.02953659,0.00001644024,0.000007014069,0.00106827],"study_design_scores_gemma":[0.000846036,0.0005933986,0.9710943,0.000009372183,0.0001719308,0.00004461022,0.0002663984,0.0178514,0.006243646,0.002514614,0.00005048075,0.0003138001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991261,0.00007468278,0.000001430161,0.000128719,0.00004553341,0.0002819886,0.00003348675,0.0000468885,0.0002611637],"genre_scores_gemma":[0.9990724,0.00005847823,0.0006869539,0.00006830943,0.00002902849,0.00001108477,0.00001044164,0.00001902306,0.0000442847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02329294,"threshold_uncertainty_score":0.7797413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008559798057009033,"score_gpt":0.2095635878231074,"score_spread":0.2010037897660983,"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."}}