{"id":"W3014022338","doi":"","title":"Total and pyrogenic carbon stocks in black spruce forest floors from eastern Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Alberta","funders":"","keywords":"Taiga; Forest floor; Carbon stock; Environmental science; Stock (firearms); Boreal; Black spruce; Forestry; Agroforestry; Soil science; Geology; Ecology; Soil water; Geography; Biology; Oceanography; Climate change","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001736287,0.0004584938,0.0002208385,0.002091088,0.001258724,0.0008496103,0.0004552884,0.0002054074,0.0005739393],"category_scores_gemma":[0.0002468193,0.0002132278,0.0001929208,0.001569181,0.0004083846,0.000218183,0.0003268867,0.0001588601,0.0001311738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005641855,"about_ca_system_score_gemma":0.002798053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.958647,"about_ca_topic_score_gemma":0.9854921,"domain_scores_codex":[0.9998252,0.000005530873,0.000008258804,0.000038604,0.00006608376,0.00005644132],"domain_scores_gemma":[0.9996266,0.00001879608,0.00004890242,0.0000101524,0.0002174008,0.00007820937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002126992,0.00002503609,0.9717932,0.0000486026,0.00008218182,0.0002348428,0.0008679079,0.0004218505,0.01678484,0.00006504168,0.0001569598,0.009306837],"study_design_scores_gemma":[0.000001321395,0.000006700258,0.9986934,0.000005499852,0.000008544096,0.00003031873,0.0003405602,0.00022482,0.0004617428,0.000007062286,0.0002165296,0.000003484223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985293,0.0001878376,0.00008113619,0.000005260882,9.466541e-7,0.000006567261,0.0008220616,0.000004516226,0.0003622855],"genre_scores_gemma":[0.998156,0.0001484734,0.0002526029,0.000009788911,0.000001065133,0.000005123057,0.0008992446,0.000002965628,0.0005248027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04135299,"threshold_uncertainty_score":0.083193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008208194013792988,"score_gpt":0.1931528046223358,"score_spread":0.1849446106085428,"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."}}