{"id":"W4313577893","doi":"10.1029/2022gb007495","title":"Hydrologic and Landscape Controls on Dissolved Organic Matter Composition Across Western North American Arctic Lakes","year":2022,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"High Magnetic Field Laboratory, Chinese Academy of Sciences; Global Water Futures; Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; Nuclear Safety and Security Commission; National High Magnetic Field Laboratory; Division of Materials Research; National Aeronautics and Space Administration; Division of Chemistry; Parks Canada; National Science Foundation","keywords":"Dissolved organic carbon; Colored dissolved organic matter; Tundra; Arctic; Boreal; Environmental science; Permafrost; Taiga; Precipitation; Wetland; Organic matter; Aquatic ecosystem; Physical geography; Oceanography; Ecology; Geology; Geography; Phytoplankton; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007911205,0.0001595315,0.0002378329,0.00001692607,0.0002385427,0.00007883389,0.0001833386,0.00002650926,0.001032413],"category_scores_gemma":[0.000008073889,0.0001308857,0.00005169536,0.0002259251,0.0001093105,0.00005607775,0.00008759834,0.0001406366,0.0001804479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001136289,"about_ca_system_score_gemma":0.000008586103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224604,"about_ca_topic_score_gemma":0.008319673,"domain_scores_codex":[0.998831,0.00008212536,0.0001825127,0.0003265252,0.0002266444,0.0003511621],"domain_scores_gemma":[0.9995391,0.00007341672,0.00009082407,0.0001462887,0.00001372423,0.0001366304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001794123,0.00003616583,0.9966495,0.00001178984,0.00001858666,0.0000177071,0.00002235031,0.00005892918,0.0003337032,0.000002903196,0.000265812,0.002403129],"study_design_scores_gemma":[0.0003799754,0.0003179687,0.9961289,0.000004906096,0.00001518898,0.00008141739,0.0001499598,0.001169647,0.0000919075,0.0001975725,0.001263209,0.00019941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957442,0.0001227023,0.000002346837,0.0007162585,0.00007174064,0.0001392179,0.002142768,0.0000516623,0.001009068],"genre_scores_gemma":[0.997345,0.000009456914,0.00001039349,0.00137372,0.00006298934,0.000005609349,0.001176651,0.000002769751,0.00001336042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006073633,"threshold_uncertainty_score":0.9998808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005836282306421158,"score_gpt":0.2041912901389667,"score_spread":0.1983550078325455,"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."}}