{"id":"W2150176408","doi":"10.1371/journal.pone.0114070","title":"Large, Omega-3 Rich, Pelagic Diatoms under Arctic Sea Ice: Sources and Implications for Food Webs","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature; Dalhousie University; Fisheries and Oceans Canada; York University","funders":"Natural Resources Canada; Fisheries and Oceans Canada; York University; Molson Foundation","keywords":"Pelagic zone; Sea ice; Diatom; Arctic; Phytoplankton; Oceanography; Eicosapentaenoic acid; Biology; Arctic ice pack; Polyunsaturated fatty acid; Algae; Fatty acid; Nutrient; Ecology; Geology","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":[0.0002610693,0.0005342044,0.0003975637,0.00126376,0.001100514,0.00118213,0.0003742031,0.000272221,0.000918727],"category_scores_gemma":[0.0003681321,0.0002438854,0.0001451587,0.001232278,0.0006124086,0.0004610133,0.0005430435,0.0001976068,0.0001238261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500358,"about_ca_system_score_gemma":0.0009789151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1081193,"about_ca_topic_score_gemma":0.1981688,"domain_scores_codex":[0.9999166,0.000009529915,0.00000575742,0.00002624878,0.00001472822,0.00002715268],"domain_scores_gemma":[0.9997064,0.00003602366,0.00009607739,0.000009584287,0.0000695408,0.00008222481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000231575,0.00003828898,0.9274356,0.00011125,0.0001133016,0.0003667194,0.001099907,0.0004664593,0.05467362,0.0004663708,0.0001749047,0.01482198],"study_design_scores_gemma":[0.000001581768,0.0000101008,0.9979913,0.00001560554,0.00001454174,0.00006249243,0.000634242,0.000393299,0.0005063905,0.0001292706,0.0002359754,0.000005263592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974536,0.001092237,0.0002009887,0.00006376485,0.00000405853,0.000004759224,0.0002315569,0.000004529518,0.0009445091],"genre_scores_gemma":[0.9986675,0.0006324425,0.0002826139,0.00002007442,0.000006693225,0.000003597708,0.0001679688,0.000002943181,0.0002161864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1081193,"threshold_uncertainty_score":0.2149799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017110639835143,"score_gpt":0.2277851744117431,"score_spread":0.2076140680133917,"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."}}