{"id":"W2740985030","doi":"10.1038/ismej.2017.109","title":"Biogeography and organic matter removal shape long-term effects of timber harvesting on forest soil microbial communities","year":2017,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Natural Resources Canada; Ministry of Forests; Canadian Forest Service; College of New Caledonia; University of British Columbia","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Office of Science; Genome Canada; Tula Foundation; Joint Genome Institute; Natural Resources Canada; Genome British Columbia; Ministry of Natural Resources; U.S. Department of Energy","keywords":"Biology; Edaphic; Decomposer; Ecology; Soil organic matter; Biodiversity; Soil fertility; Humus; Ecosystem; Soil water; Agroforestry","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002164646,0.0000954657,0.0001402072,0.00001274546,0.002112259,0.00013489,0.0003930322,0.00005901268,0.0002143827],"category_scores_gemma":[0.00003199662,0.0000306161,0.00007564919,0.00003175116,0.0005339362,0.0001065807,0.000243399,0.0002234672,0.00002939181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005491854,"about_ca_system_score_gemma":0.000002854751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001739161,"about_ca_topic_score_gemma":0.002100824,"domain_scores_codex":[0.999492,0.00008302287,0.0001080517,0.00006570472,0.00008219555,0.0001690271],"domain_scores_gemma":[0.9994189,0.0002411253,0.0001950261,0.00006703661,0.00004231267,0.00003562274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000391672,0.00003859118,0.9881328,0.00001254946,0.00005867933,0.00002039505,0.0002146977,4.71866e-7,0.008273422,0.00001351702,0.001155763,0.002039973],"study_design_scores_gemma":[0.0002002088,0.0002594904,0.9978623,0.00007973159,0.00003887255,0.000189413,0.000142823,0.00000347409,0.0008090145,0.0002049893,0.0001360247,0.00007366073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962006,0.0001152163,2.008896e-7,0.003099571,0.0001939118,0.00006418498,0.00000868374,0.000006547109,0.0003110971],"genre_scores_gemma":[0.9990625,0.0001328554,0.00001400523,0.0003956187,0.0001685479,4.402948e-7,0.000002762256,5.738154e-7,0.0002227357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009729524,"threshold_uncertainty_score":0.9991869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181916370613836,"score_gpt":0.2060290895392439,"score_spread":0.1878374524778603,"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."}}