{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001461379,0.0001299117,0.0001186664,0.0000177737,0.00007740979,0.00004831582,0.0002403561,0.00007286816,0.004061744],"category_scores_gemma":[0.00001357016,0.00008483911,0.0000525528,0.0002346362,0.0001697412,0.0000978595,0.00001508904,0.00008852098,0.0004426543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008972213,"about_ca_system_score_gemma":0.00001677651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006870932,"about_ca_topic_score_gemma":0.01222615,"domain_scores_codex":[0.9990804,0.00005912031,0.0002125537,0.0001835403,0.0002033591,0.0002610696],"domain_scores_gemma":[0.9996938,0.0000513471,0.00003663645,0.0001336576,0.00001929537,0.00006523349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008833154,0.0000419468,0.804126,0.00001753254,0.00001556385,0.0000112975,0.0001009358,0.000004954176,0.00009363062,0.0004616954,0.000819423,0.1942188],"study_design_scores_gemma":[0.002516915,0.001191954,0.8442589,0.0001142267,0.00006236258,0.0002266271,0.003999241,0.008181828,0.02696425,0.08107856,0.03040349,0.001001633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901345,0.00006777494,0.000006539231,0.0007604414,0.00009942339,0.0001886054,0.0002702289,0.0000246246,0.1084478],"genre_scores_gemma":[0.9979255,0.00001383454,0.00008410567,0.00125626,0.0001481605,0.00000237315,0.0005658726,0.000001150733,0.000002790891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932171,"threshold_uncertainty_score":0.9997424,"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."}}