{"id":"W2019926333","doi":"10.1016/j.gloplacha.2015.02.004","title":"Global estimates of boreal forest carbon stocks and flux","year":2015,"lang":"en","type":"article","venue":"Global and Planetary Change","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":421,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Sveriges Lantbruksuniversitet; Australian Research Council; Skogforsk; Stiftelsen för Miljöstrategisk Forskning","keywords":"Biome; Taiga; Environmental science; Boreal; Carbon stock; Carbon cycle; Ecosystem; Peat; Carbon fibers; Carbon accounting; Global warming; Atmospheric sciences; Carbon flux; Climate change; Carbon sequestration; Climatology; Ecology; Carbon dioxide; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006111474,0.0006203579,0.0001799223,0.001264979,0.0001811239,0.0006330669,0.0001649364,0.0002694172,0.001730021],"category_scores_gemma":[0.001603332,0.0001997238,0.0002615399,0.001765833,0.0002448236,0.001420716,0.0004768321,0.000319206,0.0003561229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578925,"about_ca_system_score_gemma":0.0003570518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540517,"about_ca_topic_score_gemma":0.02577926,"domain_scores_codex":[0.9998571,0.00002061795,0.00001279475,0.00004905613,0.00004453498,0.00001588646],"domain_scores_gemma":[0.999396,0.0001411068,0.000137346,0.00008557804,0.0002115975,0.00002834577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002233071,0.00005489788,0.791487,0.0003242749,0.0005748508,0.0001107064,0.0004399223,0.0269647,0.00964404,0.005301764,0.009459794,0.1554147],"study_design_scores_gemma":[0.00001605839,0.00002961855,0.9602417,0.0000670636,0.00013294,0.0001772771,0.000249288,0.008773405,0.002625052,0.005256436,0.02239332,0.00003778881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242796,0.004442888,0.0153724,0.001113101,0.0002008909,0.00001735243,0.03320369,0.0005222141,0.02084789],"genre_scores_gemma":[0.9802603,0.001429472,0.005982012,0.0001015417,0.0000757388,0.00001819577,0.01053525,0.0000588982,0.001538674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01540517,"threshold_uncertainty_score":0.03063101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220533117324539,"score_gpt":0.223527265543646,"score_spread":0.2013219343704006,"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."}}