{"id":"W3049572342","doi":"10.1007/s11104-020-04664-4","title":"Global change alters peatland carbon cycling through plant biomass allocation","year":2020,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Environmental science; Carbon cycle; Biomass (ecology); Ecosystem; Carbon sink; Cycling; Climate change; Global warming; Global change; Biogeochemical cycle; Soil carbon; Ecology; Soil water; Soil science; Biology; Forestry","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":[0.0001372385,0.0001467354,0.0001264257,0.0003684593,0.0001655233,0.0005084903,0.0001355844,0.0003216735,0.001689936],"category_scores_gemma":[0.0002404874,0.0001206302,0.0001321335,0.000302494,0.0004235776,0.0005397046,0.0003118175,0.000134039,0.000166066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004152164,"about_ca_system_score_gemma":0.0001980182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0075266,"about_ca_topic_score_gemma":0.02038666,"domain_scores_codex":[0.9999416,0.00001271063,0.000002878517,0.00001601645,0.000008520822,0.00001836197],"domain_scores_gemma":[0.9998754,0.00002835634,0.00003328567,0.00001301881,0.00001872932,0.00003124923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000525077,0.0001544751,0.5943905,0.00009077851,0.0002935143,0.0003487147,0.000509166,0.00736778,0.3581068,0.004305165,0.0006318892,0.03327622],"study_design_scores_gemma":[0.000003701173,0.00003241562,0.9936745,0.000003156322,0.00001422137,0.00004372465,0.0002272336,0.002160235,0.002179932,0.0008179053,0.0008378161,0.000005247531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977797,0.0001105038,0.0004280142,0.00006978436,0.000004677682,0.000001428145,0.00009097995,0.00001363296,0.001501464],"genre_scores_gemma":[0.9994369,0.00005200956,0.00009510653,0.00001832551,0.000002274693,7.341829e-7,0.00004187891,0.000005316223,0.000347474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0075266,"threshold_uncertainty_score":0.01496559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045776675726681,"score_gpt":0.2262127445493183,"score_spread":0.1957549777920515,"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."}}