{"id":"W2786825179","doi":"","title":"Annual Greenhouse Gas Budget for a Recently Rewetted Raised Bog Ecosystem","year":2016,"lang":"en","type":"article","venue":"32nd Conf. on Agricultural and Forest Meteorology/22nd Symp. Boundary Layers and Turbulence/ Third Conf. on Atmospheric Biogeosciences (20 – 24 June, 2016)","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bog; Greenhouse gas; Environmental science; Ecosystem; Peat; Greenhouse effect; Climate change; Global warming; Geography; Ecology; Archaeology","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":[0.0002001674,0.0004278298,0.00029262,0.0004868832,0.0003655553,0.0004424529,0.0005424251,0.0005624614,0.001994856],"category_scores_gemma":[0.0002682352,0.0002687254,0.0004172358,0.000450456,0.0001396059,0.0006890676,0.0002629722,0.0004705787,0.0004964723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511609,"about_ca_system_score_gemma":0.0009639729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06133442,"about_ca_topic_score_gemma":0.08297831,"domain_scores_codex":[0.9999521,0.000007235811,0.000004432605,0.00001279915,0.00001149713,0.00001208972],"domain_scores_gemma":[0.9999017,0.0000143071,0.00001240376,0.00000865674,0.00004357328,0.00001938092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002208365,0.0005180743,0.2644413,0.001001133,0.001590395,0.002150295,0.0005455958,0.4385749,0.1336897,0.01783483,0.03086199,0.1065836],"study_design_scores_gemma":[0.0002907556,0.0003241495,0.5127143,0.0001987729,0.001184556,0.001059376,0.0008293966,0.3794083,0.03199639,0.01054198,0.0612281,0.000224039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656243,0.001184137,0.002017669,0.0006325653,0.000196388,0.00001637457,0.02346533,0.00025911,0.006604217],"genre_scores_gemma":[0.9898301,0.000453253,0.001408128,0.00005999272,0.00002987832,0.00002073876,0.005661901,0.00006853396,0.002467597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06133442,"threshold_uncertainty_score":0.1219549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006177480586153678,"score_gpt":0.1934217807158914,"score_spread":0.1872443001297377,"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."}}