{"id":"W4283079108","doi":"10.1007/s10533-022-00943-7","title":"Unexpected microbial metabolic responses to elevated temperatures and nitrogen addition in subarctic soils under different land uses","year":2022,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Thünen-Institut; Georg-August-Universität Göttingen; Deutsche Forschungsgemeinschaft","keywords":"Subarctic climate; Environmental science; Soil water; Soil carbon; Boreal; Soil organic matter; Organic matter; Nutrient; Nitrogen cycle; Ecosystem; Nutrient cycle; Grassland; Taiga; Global warming; Carbon cycle; Ecology; Soil science; Agronomy; Decomposer; Vegetation (pathology); Climate change; Nitrogen; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095779,0.0001608474,0.000180875,0.00002843809,0.0001833445,0.00005784612,0.0001445734,0.00006796298,0.0004237433],"category_scores_gemma":[0.00005636245,0.00008040971,0.00005877975,0.0003579352,0.00003688213,0.0000274544,0.0001448299,0.0001635398,0.000002984747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005232195,"about_ca_system_score_gemma":0.00001547963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007011934,"about_ca_topic_score_gemma":0.0009193749,"domain_scores_codex":[0.9989744,0.0001188975,0.0001663231,0.0003160755,0.0001714911,0.0002527711],"domain_scores_gemma":[0.9996316,0.0001220446,0.00004456462,0.00006417624,0.00003220926,0.0001053642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001910778,0.0000810578,0.125314,0.000004057117,0.00001452854,0.000009488492,0.0000323944,0.000002279445,0.8740044,0.00001632539,0.0001919883,0.0001384174],"study_design_scores_gemma":[0.0004272385,0.0001152525,0.5089126,0.00001318218,0.00002527424,0.00006568418,0.0006006914,0.00006005662,0.4877349,0.0004692169,0.001235544,0.000340376],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979445,0.0004896758,4.745015e-8,0.0005876457,0.00005206745,0.0001364186,0.0007099634,0.00005959567,0.00002011159],"genre_scores_gemma":[0.9986483,0.00003713309,0.00001089349,0.0003799602,0.00009234827,0.00006759612,0.0006870848,0.000001984838,0.00007468007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3862695,"threshold_uncertainty_score":0.4639692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196168643099148,"score_gpt":0.2121372583788787,"score_spread":0.2001755719478872,"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."}}