{"id":"W3121823787","doi":"10.1038/s41558-021-00991-1","title":"Author Correction: Expert assessment of future vulnerability of the global peatland carbon sink","year":2021,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; University of Toronto; University of Victoria; McGill University; University of Alberta; Université de Montréal; Université du Québec à Montréal","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Peat; Environmental science; Carbon sink; Sink (geography); Vulnerability (computing); Environmental resource management; Climatology; Climate change; Computer science; Geography; Geology; Cartography; Oceanography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002375596,0.000127683,0.0002393867,0.000009599005,0.00008914161,0.000007643149,0.0001912162,0.0003034191,0.000640143],"category_scores_gemma":[0.00003771528,0.00008337706,0.0001064086,0.000325043,0.0001207086,0.00005052436,0.0002826554,0.0003231474,0.000001318544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974574,"about_ca_system_score_gemma":0.00002065857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001615826,"about_ca_topic_score_gemma":0.002080289,"domain_scores_codex":[0.9988611,0.0001377594,0.000205309,0.0002845935,0.0002826076,0.0002286109],"domain_scores_gemma":[0.9993581,0.00003975879,0.0001399218,0.0003737355,0.00003429646,0.0000542057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001928614,0.0001429196,0.9934725,0.00002620696,0.00001073794,0.00000725624,0.0003023471,0.00000898314,0.001784974,0.0001714669,0.00210622,0.001947164],"study_design_scores_gemma":[0.0002891049,0.00006650741,0.9862016,0.00002334222,0.0000188985,0.00002766388,0.0002466691,0.0004430782,0.001628883,0.00009558204,0.01086227,0.00009636118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716952,0.0006142253,0.000003092373,0.004253733,0.003304106,0.0002004445,0.000081311,0.0000174842,0.01983035],"genre_scores_gemma":[0.9987868,0.000158525,0.0001202863,0.0003779,0.0003719294,0.00002137505,0.00003144069,0.000006007539,0.0001257562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02709152,"threshold_uncertainty_score":0.7009117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785245940762608,"score_gpt":0.306271281073319,"score_spread":0.2884188216656929,"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."}}