{"id":"W158734110","doi":"10.7202/004874ar","title":"Temperature and the boreal-subarctic maximum in soil organic carbon","year":2002,"lang":"en","type":"article","venue":"Géographie physique et Quaternaire","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Decomposer; Environmental science; Soil carbon; Boreal; Sink (geography); Taiga; Soil water; Carbon cycle; Soil science; Carbon fibers; Total organic carbon; Carbon sink; Soil organic matter; Atmospheric sciences; Agronomy; Ecosystem; Ecology; Environmental chemistry; Geology; Chemistry; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002181387,0.0001313113,0.0001390724,0.0003627441,0.0002613251,0.0005370519,0.0000954444,0.0001809905,0.001231057],"category_scores_gemma":[0.0004448879,0.00008417846,0.0001250024,0.0003808587,0.0002842812,0.0001935727,0.0002786655,0.0002309311,0.0001541824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005067579,"about_ca_system_score_gemma":0.0002650516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065864,"about_ca_topic_score_gemma":0.05780656,"domain_scores_codex":[0.9999371,0.00001297484,0.000002993116,0.00001241515,0.000008678057,0.00002590753],"domain_scores_gemma":[0.9995139,0.00005748007,0.0002179126,0.00001745604,0.00003996585,0.0001533806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003961341,0.00007782714,0.9910359,0.00001870398,0.00008666104,0.000174694,0.0001724793,0.0002420693,0.002695522,0.0001797362,0.000476749,0.004443448],"study_design_scores_gemma":[0.00000157687,0.000006794747,0.9997016,0.000001321672,0.000004328488,0.00002112122,0.00004466428,0.00002307388,0.00003930561,0.00002424338,0.0001311188,9.032711e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982368,0.0005858262,0.0000295144,0.0001449242,0.00001358011,0.000001017167,0.0001803726,0.000006050527,0.0008019385],"genre_scores_gemma":[0.9994274,0.000216633,0.00002117965,0.0000230232,0.00001481261,0.000001090887,0.0001128375,0.000001748161,0.0001812733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02065864,"threshold_uncertainty_score":0.04107678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005737075966117979,"score_gpt":0.1963715453122527,"score_spread":0.1906344693461348,"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."}}