{"id":"W3007894431","doi":"10.1029/2019jg005501","title":"Long‐term Impacts of Permafrost Thaw on Carbon Storage in Peatlands: Deep Losses Offset by Surficial Accumulation","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Alberta","funders":"","keywords":"Thermokarst; Permafrost; Peat; Bog; Soil carbon; Environmental science; Geology; Chronosequence; Carbon cycle; Soil science; Wetland; Physical geography; Ecosystem; Soil water; Ecology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001332615,0.0001474368,0.0003563813,0.0003059482,0.0001341887,0.0001421511,0.0005589762,0.0001047749,0.0005330596],"category_scores_gemma":[0.000563218,0.0001008873,0.000113412,0.001237862,0.0004282908,0.0004523745,0.00003915984,0.0006447876,0.00002246652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001593992,"about_ca_system_score_gemma":0.0001912018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196386,"about_ca_topic_score_gemma":0.01676325,"domain_scores_codex":[0.9969218,0.0003105645,0.0004803249,0.0002549254,0.001509349,0.0005230212],"domain_scores_gemma":[0.9981594,0.0008384599,0.0002392118,0.0001173444,0.0002482608,0.0003973201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004900582,0.0001187574,0.9830042,0.00003896035,0.00000687816,0.00008336992,0.0009337437,0.00003848414,0.01091381,0.000008350994,0.0003546194,0.004008763],"study_design_scores_gemma":[0.0003838119,0.002214905,0.9888573,0.00008365061,0.00000573649,0.000006251746,0.0005700639,0.005980689,0.001567287,0.0001283208,0.0000883767,0.0001135856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957858,0.000470112,0.00000387679,0.001516238,0.0001656914,0.0001301627,0.001421479,0.000004035552,0.0005025506],"genre_scores_gemma":[0.9986406,0.0004374071,0.000007489,0.00013647,0.0004574301,3.13061e-7,0.0003081877,0.000003664474,0.000008445708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009346521,"threshold_uncertainty_score":0.9868897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096777262421697,"score_gpt":0.3563031672388012,"score_spread":0.2466254409966315,"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."}}