{"id":"W2951325852","doi":"10.1029/2018jg004712","title":"Increasing Organic Carbon Biolability With Depth in Yedoma Permafrost: Ramifications for Future Climate Change","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University; National High Magnetic Field Laboratory; Division of Materials Research; National Aeronautics and Space Administration; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Permafrost; Methane; Thermokarst; Greenhouse gas; Mineralization (soil science); Environmental chemistry; Carbon dioxide; Environmental science; Total organic carbon; Carbon cycle; Carbon fibers; Chemistry; Soil water; Soil science; Ecosystem; Geology; Ecology; Oceanography","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":[0.0001798485,0.0004493829,0.000410864,0.0005190485,0.0005783256,0.0005844883,0.0002314775,0.0005981318,0.0009436768],"category_scores_gemma":[0.0002204306,0.0002443928,0.0002989587,0.0007191683,0.0003612695,0.0006311589,0.0004921723,0.00032059,0.0001304128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004384613,"about_ca_system_score_gemma":0.0003308481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007637492,"about_ca_topic_score_gemma":0.01199447,"domain_scores_codex":[0.9999135,0.000007961636,0.000007568352,0.00003186562,0.000009917019,0.00002926648],"domain_scores_gemma":[0.9998331,0.00001988378,0.00006045619,0.000008393202,0.00004842051,0.00002975356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006850235,0.00005686064,0.6222094,0.0002049185,0.0001658978,0.0003857997,0.000556497,0.001116078,0.3649188,0.00009347605,0.00009369569,0.00951363],"study_design_scores_gemma":[0.000004061453,0.00004507032,0.9936207,0.00000610299,0.00001597743,0.00006822941,0.0004175084,0.00047792,0.00502493,0.00003873073,0.0002741209,0.000006695323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999217,0.0002006057,0.0001424634,0.00002550221,0.000002113541,0.000002379214,0.000258992,0.000003665965,0.0001472017],"genre_scores_gemma":[0.9993469,0.00009443181,0.0002326001,0.00001653468,0.00000239822,0.000005379708,0.0001888272,0.000003406498,0.0001095505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007637492,"threshold_uncertainty_score":0.01518607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06692538216126243,"score_gpt":0.3228274164396681,"score_spread":0.2559020342784057,"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."}}