{"id":"W2285795728","doi":"10.1111/gcb.13248","title":"The influence of vegetation and soil characteristics on active‐layer thickness of permafrost soils in boreal forest","year":2016,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"University of Exeter; Natural Environment Research Council; University of Sheffield; Sight Research UK","keywords":"Environmental science; Edaphic; Understory; Vegetation (pathology); Permafrost; Black spruce; Soil carbon; Soil water; Subsoil; Taiga; Active layer; Water content; Boreal; Evapotranspiration; Soil science; Canopy; Ecology; Forestry; Geology; Chemistry; Geography","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":[0.0003610099,0.0002179455,0.0002197138,0.0006830192,0.0005343545,0.0005493372,0.0003425559,0.0001971042,0.0003587012],"category_scores_gemma":[0.0004536893,0.0001725716,0.0002008166,0.0005192645,0.000458642,0.0003288861,0.000246397,0.0001431121,0.00005680674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009582511,"about_ca_system_score_gemma":0.00061236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1568085,"about_ca_topic_score_gemma":0.4279804,"domain_scores_codex":[0.9998355,0.00002500709,0.00001803959,0.00004592814,0.00003308579,0.0000424663],"domain_scores_gemma":[0.9994434,0.000091562,0.0002195509,0.00002461863,0.00008527325,0.0001355782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009361716,0.00003123107,0.9880206,0.00002314976,0.00003570488,0.00005308077,0.0001908022,0.0001563228,0.008166774,0.00002117646,0.00002865432,0.003179027],"study_design_scores_gemma":[5.257129e-7,0.000007964802,0.9997998,9.336637e-7,0.000002305031,0.00001637518,0.00005111441,0.00005013863,0.00004685689,0.000003259658,0.00001994811,8.488758e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996825,0.0000820243,0.00002725774,0.000003953594,5.044261e-7,0.000002266972,0.00006769544,0.000001752041,0.0001320973],"genre_scores_gemma":[0.9997039,0.00004763544,0.00009317321,0.000006409826,0.000001075973,0.000002195125,0.00009924009,9.370967e-7,0.00004531936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1568085,"threshold_uncertainty_score":0.3117916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03946449913528433,"score_gpt":0.2708210440347286,"score_spread":0.2313565448994443,"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."}}