{"id":"W4414833966","doi":"10.5194/bg-23-2761-2026","title":"Spatial heterogeneity of soil organic matter and microbial community composition across ice-wedge polygons and soil layers in Arctic lowland tundra","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Horizon 2020 Framework Programme; European Commission; Aurora Research Institute","keywords":"Permafrost; Tundra; Soil organic matter; Organic matter; Arctic; Microbial population biology; Soil carbon; Soil water; Subsoil; Polygon (computer graphics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003825024,0.0002068703,0.0003368831,0.001356358,0.0004891906,0.0009587707,0.0002468435,0.0001756881,0.0004271863],"category_scores_gemma":[0.0006752654,0.0001732692,0.0003122494,0.001419397,0.0005433537,0.000320938,0.0006065872,0.0001067398,0.00008585652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005778119,"about_ca_system_score_gemma":0.000364851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04580652,"about_ca_topic_score_gemma":0.06307757,"domain_scores_codex":[0.9997192,0.00006088972,0.00002537642,0.0001048695,0.00003855966,0.00005100604],"domain_scores_gemma":[0.9994549,0.0001200243,0.0002133856,0.00004831047,0.00009740648,0.00006588244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001101772,0.00001461747,0.9886494,0.00002845778,0.0001335861,0.00007775671,0.0004718003,0.0007050671,0.006276133,0.0000469433,0.00004335505,0.003442713],"study_design_scores_gemma":[8.98426e-7,0.000006995231,0.998809,0.000003266929,0.00001423038,0.00002639003,0.0003330665,0.0005861372,0.0001280346,0.00001268573,0.00007753682,0.000001903443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999553,0.00006541756,0.0001113823,0.00000321878,6.342592e-7,0.000001518331,0.0001538763,0.00000292577,0.0001080849],"genre_scores_gemma":[0.9994625,0.00003289176,0.0001561115,0.000003769986,0.000001289502,0.000002979566,0.00030055,0.000001730198,0.00003813692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04580652,"threshold_uncertainty_score":0.09107983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513398844139728,"score_gpt":0.2560003149971843,"score_spread":0.230866326555787,"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."}}