{"id":"W2531341442","doi":"10.1038/ncomms13043","title":"Circumpolar distribution and carbon storage of thermokarst landscapes","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":590,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"Alaska Climate Adaptation Science Center, University of Alaska Fairbanks; Office of Science; U.S. Department of Energy; Alberta Innovates; National Science Foundation; Vetenskapsrådet; U.S. Geological Survey","keywords":"Thermokarst; Permafrost; Landform; Environmental science; Earth science; Physical geography; Climate change; Geology; Geomorphology; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001176241,0.0000528633,0.00007579789,0.00002387178,0.00009152611,0.000009534802,0.0002526804,0.00009916177,0.0002243047],"category_scores_gemma":[0.00004300837,0.00003349194,0.00001935841,0.00009020938,0.00008648281,0.00006546629,0.00002887931,0.0001311056,0.000007106376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000280404,"about_ca_system_score_gemma":0.00001067823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003562409,"about_ca_topic_score_gemma":0.01320547,"domain_scores_codex":[0.9996217,0.00005589194,0.00008968507,0.00007596823,0.00007285556,0.00008384314],"domain_scores_gemma":[0.9991636,0.0002585345,0.00004942578,0.0004531178,0.00003831251,0.00003706797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009502383,0.00001572167,0.9866878,0.00000811217,0.00001097215,4.257408e-7,0.0002554467,4.467447e-7,0.003869169,0.001203207,0.0004844416,0.007454744],"study_design_scores_gemma":[0.0001625498,0.00002550188,0.9796693,0.00002882796,0.00001302275,0.000005193013,0.00008330261,0.0004639796,0.0001228665,0.0004082854,0.01894139,0.00007575562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976998,0.01211644,0.00001051926,0.002610643,0.00007888377,0.00007431142,0.003490185,0.00001911365,0.004601934],"genre_scores_gemma":[0.9955934,0.003067563,0.00003741471,0.00004972032,0.00002625241,7.59953e-7,0.001202507,0.000001608718,0.00002073099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01859548,"threshold_uncertainty_score":0.7368962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320367875766497,"score_gpt":0.2512373730670591,"score_spread":0.2280336943093942,"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."}}