{"id":"W2757587804","doi":"","title":"Hydrological Controls on Ecosystem CO 2 and CH 4 Exchange in a MIXED Tundra and a FEN within an Arctic Landscape UNDER Current and Future Climates","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tundra; Ecosystem; Current (fluid); Environmental science; Arctic; Wetland; The arctic; Geography; Ecology; Environmental resource management; Hydrology (agriculture); Physical geography; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004199492,0.0001373126,0.0003496072,0.0005063764,0.0008314981,0.001058339,0.0003631483,0.0003469325,0.0007646194],"category_scores_gemma":[0.0004960548,0.0001937376,0.0002511581,0.0004090247,0.0006989774,0.0004224881,0.0004496421,0.0002105216,0.00006418413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253441,"about_ca_system_score_gemma":0.0005501091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1057795,"about_ca_topic_score_gemma":0.1990404,"domain_scores_codex":[0.9998813,0.00004604269,0.000007044156,0.00002266379,0.00000877412,0.00003414001],"domain_scores_gemma":[0.9996912,0.00006555158,0.00004958197,0.00001664814,0.00005989546,0.0001170279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001937062,0.0003927708,0.9305114,0.00003857419,0.0003336133,0.0006474026,0.001502817,0.01233185,0.04552884,0.00104169,0.0004196259,0.005314321],"study_design_scores_gemma":[0.00001272353,0.00004537472,0.9888066,0.000002904664,0.00003414083,0.00007239576,0.001223126,0.009116621,0.0003679701,0.0001447182,0.0001641158,0.000009381417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997811,0.00001207001,0.0000201515,0.0000157007,9.951131e-7,6.327676e-7,0.00002892748,0.000001140435,0.0001393043],"genre_scores_gemma":[0.9998522,0.000008741084,0.00003592646,0.000006143479,0.000001347281,9.313843e-7,0.00002986224,8.652478e-7,0.00006405055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1057795,"threshold_uncertainty_score":0.2103276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03301724090245606,"score_gpt":0.2505297584086976,"score_spread":0.2175125175062416,"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."}}