{"id":"W2343823768","doi":"10.1016/j.scitotenv.2016.04.014","title":"Using geochemical indicators to distinguish high biogeochemical activity in floodplain soils and sediments","year":2016,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Lawrence Berkeley National Laboratory; Biological and Environmental Research; Office of Science; U.S. Department of Energy","keywords":"Biogeochemical cycle; Floodplain; Sediment; Alluvium; Geology; Biogeochemistry; Environmental science; Soil water; Hydrology (agriculture); Weathering; Environmental chemistry; Geochemistry; Soil science; Ecology; Oceanography; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837821,0.0003524878,0.0001534648,0.001494967,0.0002283248,0.0009659198,0.000120085,0.000384312,0.0003111229],"category_scores_gemma":[0.0007022497,0.0001796574,0.0001271752,0.0008045002,0.0002200776,0.0004688438,0.0003788477,0.0002606132,0.000106678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831216,"about_ca_system_score_gemma":0.0002296899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003233881,"about_ca_topic_score_gemma":0.008385218,"domain_scores_codex":[0.999876,0.0000298146,0.00001363416,0.00003170169,0.00002286608,0.00002599692],"domain_scores_gemma":[0.999657,0.0001043332,0.0001250464,0.00001291877,0.00004361862,0.00005713864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003949808,0.0001046784,0.8907796,0.00004704883,0.00006501871,0.00005967466,0.0002419476,0.0005249676,0.09002191,0.0001083921,0.00006836907,0.01758341],"study_design_scores_gemma":[0.00001361667,0.0001155088,0.9815906,0.000009109791,0.00005172252,0.00009549625,0.0004555232,0.003723836,0.01328713,0.0002305916,0.0004159791,0.00001093634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986707,0.00009323363,0.0007795669,0.00001529243,0.000003419851,0.000004399853,0.00009279383,0.000007931308,0.0003326534],"genre_scores_gemma":[0.9983816,0.00009328917,0.001122245,0.00001311985,0.000005673233,0.000004571422,0.0001624215,0.000002127907,0.0002149611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003233881,"threshold_uncertainty_score":0.006430089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096165929516102,"score_gpt":0.226167447513073,"score_spread":0.2152057882179119,"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."}}