{"id":"W2471374840","doi":"10.1038/srep28498","title":"Mitigating wildfire carbon loss in managed northern peatlands through restoration","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Environmental science; Moss; Climate change; Carbon fibers; Hydrology (agriculture); Geology; Ecology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005270143,0.0001721032,0.0002365926,0.0002925684,0.0007182409,0.000664063,0.0004329347,0.0002719878,0.0007849097],"category_scores_gemma":[0.001005596,0.00007495365,0.000207012,0.0002343194,0.0006223242,0.0004996467,0.0005227139,0.0001839606,0.00008721934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490647,"about_ca_system_score_gemma":0.002427677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05423839,"about_ca_topic_score_gemma":0.2979494,"domain_scores_codex":[0.9998028,0.00004239677,0.00001013991,0.00001986882,0.00003734023,0.00008754146],"domain_scores_gemma":[0.9995257,0.00002590741,0.000163422,0.00004032979,0.0001024631,0.0001421721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001948358,0.001217089,0.534933,0.0005760182,0.0004639816,0.002895422,0.0027598,0.03534586,0.19651,0.004384893,0.002599854,0.2163657],"study_design_scores_gemma":[0.00006167898,0.001015761,0.9493795,0.000111491,0.000125881,0.0008804775,0.003885618,0.01183178,0.01545675,0.003039487,0.01418238,0.00002922032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968546,0.0002925169,0.0006607299,0.0001070764,0.000007823619,0.00001755697,0.00002265226,0.00002686974,0.002010248],"genre_scores_gemma":[0.9985633,0.0001371096,0.0008367782,0.0000334891,0.000004921408,0.00001044913,0.0000297013,0.000003171025,0.000381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05423839,"threshold_uncertainty_score":0.1078454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009232904566009965,"score_gpt":0.2205889760316248,"score_spread":0.2113560714656148,"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."}}