{"id":"W4323066272","doi":"10.5194/bg-20-489-2023","title":"Soil organic matter diagenetic state informs boreal forest ecosystem feedbacks to climate change","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Forest Service; Memorial University of Newfoundland; Texas A and M University Galveston; U.S. Forest Service; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Environmental science; Diagenesis; Boreal; Climate change; Soil carbon; Taiga; Biogeochemical cycle; Forest floor; Ecosystem; Soil organic matter; Carbon cycle; Ecology; Earth science; Soil science; Geology; Soil water; Oceanography; Geochemistry; Biology","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":[0.0005578596,0.0003514235,0.0001892466,0.0006827699,0.0004102083,0.0008017859,0.000177896,0.0002931218,0.0006519171],"category_scores_gemma":[0.0005096192,0.0001579233,0.0002201225,0.0005332037,0.0003416207,0.0006586168,0.0003279871,0.0002867283,0.0001218367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003820194,"about_ca_system_score_gemma":0.0002767293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515294,"about_ca_topic_score_gemma":0.04948439,"domain_scores_codex":[0.9997991,0.00003847164,0.00001554198,0.0000882608,0.00002805175,0.00003070876],"domain_scores_gemma":[0.9994144,0.00006592672,0.0002540101,0.0000405238,0.0001332761,0.00009179208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001458481,0.00006622341,0.9462928,0.00004341509,0.00008561099,0.00005724369,0.0002656402,0.0005249073,0.04436124,0.00009184281,0.0001521919,0.007913111],"study_design_scores_gemma":[0.000001459118,0.00002490835,0.9981364,0.000002591579,0.000009290101,0.00002309845,0.00009522284,0.0006370493,0.0007815107,0.00004093683,0.0002429463,0.000004659485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977937,0.0002678007,0.000677363,0.00003651815,0.000009913224,0.00001000867,0.0005164522,0.00002556945,0.000662602],"genre_scores_gemma":[0.9987952,0.00006729468,0.0006553703,0.00002994271,0.000006493678,0.000005598349,0.0003260525,0.000005141927,0.0001088388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515294,"threshold_uncertainty_score":0.03012949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001222653693069,"score_gpt":0.2217086423066985,"score_spread":0.2016964157697679,"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."}}