{"id":"W2587460582","doi":"10.1007/s11273-017-9531-5","title":"Growing season carbon gas exchange from peatlands used as a source of vegetation donor material for restoration","year":2017,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bog; Ombrotrophic; Peat; Environmental science; Moss; Vegetation (pathology); Growing season; Wetland; Undergrowth; Hydrology (agriculture); Agronomy; Ecology; Geology; 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":[0.0003333337,0.0001571519,0.0002632819,0.00005643077,0.0003685692,0.00005634692,0.0002197552,0.0001417964,0.0001732605],"category_scores_gemma":[0.00003009301,0.0001441455,0.00004795478,0.00002861686,0.0001419308,0.000204494,0.0002696242,0.0000534136,0.000008676893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005768918,"about_ca_system_score_gemma":0.00000551501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005283,"about_ca_topic_score_gemma":0.005475793,"domain_scores_codex":[0.9989462,0.00005581944,0.0002270344,0.0003756121,0.0001189531,0.0002763203],"domain_scores_gemma":[0.9992903,0.0000638503,0.0002487266,0.0003179485,0.000009449011,0.00006972986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005707619,0.00011415,0.9819825,0.000137619,0.0001282508,0.00002261303,0.0007633788,0.0001167336,0.004068165,0.0007306891,0.001255403,0.01010969],"study_design_scores_gemma":[0.002826461,0.0005247078,0.9735959,0.00002521056,0.0001577666,0.000003800662,0.0001020866,0.002551053,0.001113987,0.002169421,0.01671139,0.0002182833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902777,0.00001802582,0.0002846202,0.0007449869,0.0004378812,0.0005217069,0.00001029108,0.00002639525,0.007678366],"genre_scores_gemma":[0.9978416,0.0001646275,0.0004326559,0.0001468473,0.0001506953,0.0001774245,0.0002254658,0.00001412411,0.0008465658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01545599,"threshold_uncertainty_score":0.5878083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195741350457162,"score_gpt":0.2339703062840275,"score_spread":0.2220128927794559,"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."}}