{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002148532,0.0003181841,0.0003185168,0.00004024036,0.00005012448,0.00007063454,0.0003166854,0.0001383135,0.0002693835],"category_scores_gemma":[0.00006973666,0.0002468693,0.00003725316,0.0001193471,0.0001182389,0.0003038801,0.0002061536,0.0001693293,0.0002051115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004693594,"about_ca_system_score_gemma":0.0001847428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8761506,"about_ca_topic_score_gemma":0.9549465,"domain_scores_codex":[0.9977106,0.00009389032,0.0004311016,0.0006556367,0.0004904981,0.0006182342],"domain_scores_gemma":[0.9989842,0.0001432342,0.0001680746,0.0003829362,0.00001518924,0.0003063687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003861873,0.00005421584,0.7977265,0.00001054911,0.00002436601,0.0001729322,0.0002263651,0.001574199,0.1827378,0.00002229456,0.0004526105,0.0169596],"study_design_scores_gemma":[0.0006949395,0.00006797157,0.9776788,0.00008565326,0.000009873335,0.0000107306,0.00004510523,0.009144369,0.01139348,0.0001140273,0.0003550292,0.0004000744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951741,0.00004138227,0.00001481794,0.0005587913,0.0003822026,0.0003541119,0.00003123418,0.00003373412,0.003409631],"genre_scores_gemma":[0.9984478,0.00001130273,0.00008618218,0.0001045149,0.0001326334,0.00002613833,0.000008749194,0.00002880001,0.00115385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1799523,"threshold_uncertainty_score":0.9999983,"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."}}