{"id":"W2018301306","doi":"10.1038/ngeo2325","title":"Global vulnerability of peatlands to fire and carbon loss","year":2014,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":850,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration; National Science Foundation","keywords":"Peat; Environmental science; Boreal; Carbon cycle; Carbon fibers; Climate change; Vegetation (pathology); Fire regime; Carbon sink; Climatology; Ecosystem; Ecology; Geology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003471108,0.0001736047,0.0001334144,0.0008300407,0.0001694253,0.0005554302,0.00009996396,0.000232935,0.001613289],"category_scores_gemma":[0.0008681133,0.00009680862,0.0002469584,0.0008809784,0.0004794421,0.0008631504,0.0007600188,0.0002333874,0.00007266998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152261,"about_ca_system_score_gemma":0.0002221663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00847695,"about_ca_topic_score_gemma":0.01633286,"domain_scores_codex":[0.9999,0.00002068118,0.000005782636,0.00001641524,0.00001433984,0.00004278887],"domain_scores_gemma":[0.9996655,0.00008597788,0.0001221366,0.00003608091,0.0000464673,0.00004381782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002594499,0.00003396167,0.9419335,0.00006449306,0.0004041131,0.0002940148,0.0005413743,0.02373431,0.004797121,0.003693946,0.0004278866,0.02381592],"study_design_scores_gemma":[0.000005422244,0.0000383569,0.9856005,0.00002110544,0.00007200223,0.0002182498,0.0008855743,0.005036571,0.0006423092,0.006110352,0.001359048,0.00001041265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976131,0.0002928947,0.0002235313,0.000177222,0.000003711438,0.00000120469,0.000196951,0.000004758936,0.001486733],"genre_scores_gemma":[0.9995112,0.0002217212,0.00003756472,0.000009015868,0.000003982582,9.128196e-7,0.00006975702,0.000001753818,0.0001440162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00847695,"threshold_uncertainty_score":0.01685518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002292649699976996,"score_gpt":0.219731656517909,"score_spread":0.217439006817932,"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."}}