{"id":"W2897111448","doi":"10.1029/2018gb005948","title":"Isotopic Constraints on Nitrogen Transformation Rates in the Deep Sedimentary Marine Biosphere","year":2018,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Science Foundation","keywords":"Anoxic waters; Nitrate; Isotopes of nitrogen; Nitrite; Denitrification; Environmental chemistry; Nitrogen cycle; Nitrogen; Cycling; Stable isotope ratio; Sedimentary rock; Chemistry; Oceanography; Environmental science; Geology; Geochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003620669,0.0003189773,0.0002500401,0.0004833929,0.0002969667,0.0004377551,0.0002851305,0.0003446639,0.000513933],"category_scores_gemma":[0.0007471008,0.0002890319,0.0001693563,0.0002836775,0.00034018,0.0003949431,0.0005218919,0.0001855811,0.00009721519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783276,"about_ca_system_score_gemma":0.0002698303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01535321,"about_ca_topic_score_gemma":0.02429478,"domain_scores_codex":[0.9999073,0.00001202028,0.00000654167,0.00003492664,0.00002071086,0.00001844512],"domain_scores_gemma":[0.9997156,0.0001173272,0.00005603619,0.00002916038,0.00004924976,0.00003259509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003277321,0.00004613056,0.7148332,0.00007975291,0.0001180393,0.0001063602,0.0002633485,0.01246275,0.2627269,0.001055228,0.00008906428,0.007891515],"study_design_scores_gemma":[0.00002061055,0.00007079689,0.9626201,0.00001363179,0.00004166171,0.00004755544,0.0001999333,0.02370602,0.01142196,0.001102668,0.0007374911,0.0000174914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991173,0.00007484676,0.0002469688,0.00001600314,9.019928e-7,9.724317e-7,0.0001050838,0.000006009683,0.0004318767],"genre_scores_gemma":[0.9996623,0.00004694083,0.0001339361,0.000005874584,7.31669e-7,0.000001406085,0.00009874505,0.000002381275,0.00004762728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01535321,"threshold_uncertainty_score":0.03052765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008233810988009243,"score_gpt":0.2150592457275307,"score_spread":0.2068254347395214,"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."}}