{"id":"W2951248625","doi":"10.1007/s11368-019-02373-9","title":"The response of microbial composition and enzyme activities to hydrological gradients in a riparian wetland","year":2019,"lang":"en","type":"article","venue":"Journal of Soils and Sediments","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Microbial population biology; Environmental science; Wetland; Soil organic matter; Soil carbon; Community structure; Environmental chemistry; Agronomy; Soil water; Ecology; Chemistry; Soil science; Biology; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004336695,0.00005754911,0.0001224991,0.00003643874,0.00004676657,0.0000218082,0.00007207892,0.0000321722,0.000005725622],"category_scores_gemma":[0.000007770983,0.00003508354,0.00002125446,0.00005226264,0.00007406364,0.0001113606,0.00007198645,0.00007867291,0.000002680773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003550386,"about_ca_system_score_gemma":0.000003804854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003446406,"about_ca_topic_score_gemma":0.000006102809,"domain_scores_codex":[0.9993995,0.00007461257,0.0001926926,0.00007546513,0.0001438352,0.0001138413],"domain_scores_gemma":[0.9997068,0.00007763387,0.0001020541,0.00004725757,0.000004337381,0.00006189696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002229981,0.0001059438,0.9391404,0.000004228667,0.0000131553,0.000008908141,0.0009775005,0.0002214347,0.05635476,0.000008409063,0.0001508519,0.000784458],"study_design_scores_gemma":[0.002323595,0.0009803167,0.9879596,0.00007314167,0.00001059622,0.0000763084,0.0002145737,0.0008767642,0.005426544,0.0008738679,0.001085418,0.00009929621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992555,0.00003976579,0.000005685366,0.0004347844,0.0001190857,0.00007781056,0.000002706551,9.040759e-7,0.00006378818],"genre_scores_gemma":[0.9996852,0.00007308859,0.00007096592,0.0001190376,0.00001065874,6.23288e-7,3.686329e-7,0.000002423523,0.00003768528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05092822,"threshold_uncertainty_score":0.1430665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005441379053532588,"score_gpt":0.2060933170313831,"score_spread":0.2006519379778506,"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."}}