{"id":"W3196863676","doi":"10.1029/2020gb006901","title":"Isoscape Models of the Southern Ocean: Predicting Spatial and Temporal Variability in Carbon and Nitrogen Isotope Compositions of Particulate Organic Matter","year":2021,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tula Foundation; University of British Columbia; Fisheries and Oceans Canada","funders":"H2020 Marie Skłodowska-Curie Actions; Division of Grants and Agreements; Natural Sciences and Engineering Research Council of Canada; Hakai Institute; G. Unger Vetlesen Foundation; Bundesministerium für Bildung und Frauen; University of British Columbia; Ministry of Business, Innovation and Employment; Agence Nationale de la Recherche","keywords":"Environmental science; Biogeochemical cycle; Spatial variability; Trophic level; Oceanography; Spatial ecology; Ecology; Ecosystem; Food web; Biology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008600303,0.0003615123,0.0003966935,0.0005702619,0.0002729592,0.0005514683,0.000772476,0.0004919919,0.0005965971],"category_scores_gemma":[0.001951738,0.0003211664,0.0006785066,0.0003346319,0.0005149571,0.0004265251,0.0005733723,0.0005147073,0.0001070235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009103544,"about_ca_system_score_gemma":0.0007487829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04909054,"about_ca_topic_score_gemma":0.03264556,"domain_scores_codex":[0.9998815,0.0000343267,0.000006129655,0.0000469767,0.00001543952,0.00001557151],"domain_scores_gemma":[0.999419,0.0002980957,0.000111829,0.00003865226,0.00006590904,0.0000665026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005726986,0.00003333199,0.03763548,0.000005588484,0.00004115386,0.00002348558,0.00001937912,0.9581848,0.000598227,0.00036825,0.00009184213,0.002941308],"study_design_scores_gemma":[0.000003443323,0.000006047711,0.001945603,6.77038e-7,0.000002448715,0.000002193996,0.000004377487,0.9977265,0.00005616424,0.000232568,0.00001857081,0.00000131321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811723,0.00005174745,0.01792082,0.00007660931,0.000006402446,0.00000661852,0.0001911982,0.0001224854,0.000451796],"genre_scores_gemma":[0.9955532,0.0000188958,0.003919074,0.0000144097,0.000004317088,0.000008457399,0.0002643648,0.000009075784,0.000208245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04909054,"threshold_uncertainty_score":0.09760958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0054700540281154,"score_gpt":0.2016013804802119,"score_spread":0.1961313264520965,"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."}}