{"id":"W2802048918","doi":"10.1029/2017jg004311","title":"The Ephemeral Signature of Permafrost Carbon in an Arctic Fluvial Network","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; National High Magnetic Field Laboratory; Florida State University; National Science Foundation","keywords":"Permafrost; Dissolved organic carbon; Fluvial; Organic matter; Environmental chemistry; Arctic; Carbon cycle; Environmental science; Total organic carbon; Hydrology (agriculture); Geology; Oceanography; Chemistry; Ecosystem; Ecology; Geomorphology; Structural basin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003327521,0.0001094068,0.0002366482,0.0001730081,0.0004634172,0.0001559442,0.0009278518,0.00007295285,0.0003800352],"category_scores_gemma":[0.0003531993,0.00005975507,0.0000927773,0.001384144,0.001843745,0.0003841873,0.00004936407,0.0006207985,0.00001902892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001194322,"about_ca_system_score_gemma":0.000240693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02303927,"about_ca_topic_score_gemma":0.06208894,"domain_scores_codex":[0.9968331,0.0004554333,0.0004142964,0.0001973678,0.001390258,0.0007095037],"domain_scores_gemma":[0.9978014,0.0009997566,0.0001844394,0.0001890284,0.0005809934,0.0002444455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003656335,0.00008775475,0.9844444,0.00001065804,0.00000730273,0.00002923432,0.000940791,0.00001091493,0.005734789,0.0001223902,0.0005949885,0.007651113],"study_design_scores_gemma":[0.0002117324,0.002942261,0.9830083,0.00007273786,0.000004567487,0.0000129057,0.001009221,0.004684004,0.0005079389,0.005318464,0.002133902,0.00009399364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967697,0.000690333,5.985604e-7,0.001083445,0.0006311198,0.00009759705,0.000120107,0.000002236749,0.00060483],"genre_scores_gemma":[0.9973781,0.0002977783,0.00005159191,0.00006141551,0.002140444,4.325212e-7,0.00001758936,0.000002556231,0.00005016216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03904967,"threshold_uncertainty_score":0.9834664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06257326442428403,"score_gpt":0.3392059709502251,"score_spread":0.2766327065259411,"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."}}