{"id":"W1901933764","doi":"10.1038/nclimate2643","title":"Dual controls on carbon loss during drought in peatlands","year":2015,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":175,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Peat; Environmental science; Soil carbon; Boreal; Carbon cycle; Shrub; Carbon fibers; Global warming; Sphagnum; Waterlogging (archaeology); Climate change; Soil water; Ecology; Ecosystem; Soil science; Wetland; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002920923,0.0001761508,0.0002389343,0.00007117161,0.00005065057,0.00001872827,0.0001505365,0.0003294193,0.0001436669],"category_scores_gemma":[0.00004233375,0.0001411899,0.00004003544,0.00018886,0.00005914387,0.0001048945,0.0001581459,0.0004725942,0.0001047591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520173,"about_ca_system_score_gemma":0.000004311964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101739,"about_ca_topic_score_gemma":0.002032368,"domain_scores_codex":[0.9986496,0.00005378031,0.0001643742,0.0003469805,0.0002640013,0.0005212894],"domain_scores_gemma":[0.9995422,0.00003144039,0.00006073917,0.0002081421,0.00000701181,0.0001504536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003075468,0.0001304054,0.9954598,0.00001316999,0.000005439599,0.0005010181,0.000936055,0.00002496259,0.001492118,0.0001750128,0.0005897253,0.0003647759],"study_design_scores_gemma":[0.003015941,0.0002659793,0.9896041,0.00003210683,0.000008661996,0.00005056803,0.00008259663,0.0002763463,0.0004060273,0.0002012684,0.00579772,0.0002587372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502198,0.0001502659,7.044729e-8,0.001162855,0.000365667,0.000222075,0.00002133596,0.00004421833,0.04781368],"genre_scores_gemma":[0.9984176,0.0001142922,0.00001275373,0.000732211,0.0004321742,0.00006310942,0.00005795715,0.00001741473,0.0001525397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04819772,"threshold_uncertainty_score":0.5757557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074932527607444,"score_gpt":0.2571903044659817,"score_spread":0.2364409791899073,"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."}}