{"id":"W3107783145","doi":"10.3354/ame01954","title":"Nitrogen cycling in coastal sediment microbial communities with seasonally variable benthic nutrient fluxes","year":2020,"lang":"en","type":"article","venue":"Aquatic Microbial Ecology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Melbourne Water; Agriculture Victoria; Department of Jobs, Precincts and Regions; Department of Environment, Land, Water and Planning, State Government of Victoria; National Science Foundation","keywords":"Anammox; Benthic zone; Nitrogen cycle; Denitrification; Bay; Microbial population biology; Sediment; Estuary; Cycling; Ecology; Environmental science; Nitrification; Nutrient cycle; Macrobenthos; Ecosystem; Oceanography; Biology; Denitrifying bacteria; Nitrogen; Chemistry; Geography; Geology; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002214831,0.0003000237,0.0004066293,0.00005144504,0.0001919911,0.00004784552,0.000365054,0.0001321276,0.002524379],"category_scores_gemma":[0.00001529107,0.0002653549,0.00007174812,0.0002839527,0.0003055269,0.0001486642,0.0003868732,0.0002801951,0.0007367128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219044,"about_ca_system_score_gemma":0.0000856581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785019,"about_ca_topic_score_gemma":0.01235168,"domain_scores_codex":[0.9981803,0.0002485627,0.0003990883,0.0003697695,0.0001925672,0.0006097695],"domain_scores_gemma":[0.9993432,0.0001343679,0.0001286623,0.0002117415,0.000009648842,0.0001723774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007884024,0.0009624024,0.5294071,0.00005008817,0.0002169128,0.0001959395,0.007439088,0.00235578,0.4551843,0.0002112954,0.003056565,0.0001320809],"study_design_scores_gemma":[0.06574257,0.01615974,0.07815705,0.000709746,0.001691994,0.001626069,0.01906592,0.04249433,0.7218449,0.00767137,0.03732898,0.007507398],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973444,0.00002685401,0.0001725692,0.001142871,0.0001127264,0.0005666526,0.0000357575,0.000049619,0.0005485495],"genre_scores_gemma":[0.9808671,0.00001077273,0.01684989,0.001833923,0.00007571818,0.00003381626,0.0001550955,0.00003357669,0.00014009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4512501,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115488532735158,"score_gpt":0.1961684122318861,"score_spread":0.1850135269045345,"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."}}