{"id":"W2130661340","doi":"10.1002/2014jg002889","title":"Ecosystem CO<sub>2</sub> and CH<sub>4</sub> exchange in a mixed tundra and a fen within a hydrologically diverse Arctic landscape: 2. Modeled impacts of climate change","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Compute Canada","keywords":"Tundra; Environmental science; Ecosystem; Ecosystem respiration; Greenhouse gas; Atmospheric sciences; Primary production; Biogeochemical cycle; Productivity; Climate change; Evergreen; Arctic; Ecology; Biology","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":[0.004489217,0.0002334345,0.0006205305,0.0006405905,0.0002300028,0.0002220985,0.0004284708,0.0001386096,0.00003096374],"category_scores_gemma":[0.0005433565,0.0001550366,0.00009749352,0.001047243,0.0006585027,0.0009263352,0.0001573994,0.0005166929,0.0000268161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000255285,"about_ca_system_score_gemma":0.0001851802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005596633,"about_ca_topic_score_gemma":0.03231004,"domain_scores_codex":[0.9961528,0.0005503278,0.0005815849,0.0003988789,0.001434973,0.0008814644],"domain_scores_gemma":[0.9975761,0.0006893968,0.0003752123,0.000167167,0.0003756024,0.0008164971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001188551,0.0002339451,0.92797,0.000347236,0.00002893323,0.0003584613,0.005333852,0.00001471437,0.04885835,0.00003786833,0.0001183346,0.01550974],"study_design_scores_gemma":[0.001849599,0.004399726,0.9579634,0.0004957957,0.00002944344,0.0002233265,0.003799516,0.02424456,0.00491048,0.001707725,0.00006010901,0.0003163021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966426,0.001478541,0.000001321202,0.0005626581,0.0001614437,0.000341874,0.0006774374,0.000007884109,0.0001262415],"genre_scores_gemma":[0.9936587,0.005932054,0.00002785781,0.00007458758,0.0002604615,0.000004911147,0.00003431993,0.000005659304,0.000001420638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04394787,"threshold_uncertainty_score":0.9853478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09273312914103748,"score_gpt":0.3060257359262845,"score_spread":0.213292606785247,"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."}}