{"id":"W2131673531","doi":"10.5194/bg-12-977-2015","title":"Frozen ponds: production and storage of methane during the Arctic winter in a lowland tundra landscape in northern Siberia, Lena River delta","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Helmholtz-Gemeinschaft; European Commission; Alberta Agricultural Research Institute","keywords":"Tundra; Delta; River delta; Arctic; Environmental science; Physical geography; The arctic; Permafrost; Wetland; Methane; Geography; Hydrology (agriculture); Oceanography; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001500722,0.0001886193,0.0001984069,0.0005897687,0.0004886092,0.0003739937,0.0002036597,0.0001504311,0.0006001396],"category_scores_gemma":[0.0001497774,0.0001127323,0.0001678977,0.0004857676,0.0002811816,0.0001833035,0.0002519882,0.00007359127,0.00007383843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005893107,"about_ca_system_score_gemma":0.0002667796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0306343,"about_ca_topic_score_gemma":0.06055735,"domain_scores_codex":[0.9999567,0.000007869417,0.000003781849,0.00001353826,0.00000765897,0.00001036833],"domain_scores_gemma":[0.9998916,0.00001821302,0.00003376348,0.000007187782,0.00002197291,0.00002732501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002239355,0.00003364356,0.980768,0.00002631979,0.00006304005,0.0003012838,0.0007158282,0.0005280711,0.01301936,0.0000232584,0.00004709115,0.004250151],"study_design_scores_gemma":[0.000001350471,0.00001867285,0.9988415,0.00000166822,0.00000820451,0.00003464713,0.0002859326,0.0004789863,0.0002756359,0.000006927258,0.00004515899,0.000001466844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998105,0.00001917288,0.00002206594,0.000002037983,3.270983e-7,5.772584e-7,0.00009243259,0.000001249238,0.00005160531],"genre_scores_gemma":[0.9997128,0.00001600423,0.00004107189,0.000001556534,6.055143e-7,0.000001520319,0.0001505827,5.321442e-7,0.00007527488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0306343,"threshold_uncertainty_score":0.06091201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114412035174364,"score_gpt":0.2290080401917107,"score_spread":0.1978639198399671,"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."}}