{"id":"W2157442943","doi":"10.1088/1748-9326/10/3/035002","title":"Can boreal peatlands with pools be net sinks for CO <sub>2</sub> ?","year":2015,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Helsingin Yliopisto","keywords":"Peat; Environmental science; Ecosystem respiration; Eddy covariance; Subarctic climate; Ecosystem; Carbon dioxide; Carbon sink; Boreal; Sink (geography); Growing season; Carbon cycle; Atmospheric sciences; Temperate climate; Environmental chemistry; Ecology; Chemistry; Biology; Geology","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":[0.0002804727,0.0002818427,0.0002941969,0.000307871,0.0002555641,0.0006739988,0.0002175953,0.0003169173,0.0007362454],"category_scores_gemma":[0.0004784272,0.0001966853,0.0001541263,0.0001633307,0.0005002083,0.001062526,0.0002959873,0.0001019145,0.0001757553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741283,"about_ca_system_score_gemma":0.0002006639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313879,"about_ca_topic_score_gemma":0.01307536,"domain_scores_codex":[0.9999285,0.00001260625,0.000004829095,0.00001586471,0.00000614079,0.00003194744],"domain_scores_gemma":[0.9997173,0.00005382484,0.0001104734,0.00002137289,0.00003253906,0.00006448555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001085473,0.0001500826,0.8722902,0.000233061,0.0001829822,0.0008441831,0.0008609341,0.001013122,0.08175178,0.001801931,0.0003301587,0.0394561],"study_design_scores_gemma":[0.00001255351,0.0001375876,0.992319,0.00002028743,0.00004678147,0.0003486773,0.0008234127,0.001171025,0.002463999,0.001619779,0.001019563,0.00001722252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987665,0.0001603171,0.0001797006,0.00005317298,0.000004527641,0.000003075804,0.00005278067,0.000007227908,0.0007726536],"genre_scores_gemma":[0.9995023,0.0001011247,0.0001608846,0.00002117348,0.000005305296,0.000002411352,0.00004226241,0.000001650736,0.0001627467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003313879,"threshold_uncertainty_score":0.006589174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247870242363293,"score_gpt":0.2812442327493274,"score_spread":0.2487655303256944,"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."}}