{"id":"W2616404162","doi":"10.1038/ncomms15347","title":"Global perturbation of organic carbon cycling by river damming","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":427,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Agence Nationale de la Recherche; European Commission","keywords":"Mineralization (soil science); Environmental science; Total organic carbon; Carbon cycle; Greenhouse gas; Cycling; Organic matter; Hydrology (agriculture); Environmental chemistry; Physical geography; Soil science; Oceanography; Geology; Ecosystem; Ecology; Chemistry; Geography; Soil water; Biology; Forestry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000142025,0.00006367018,0.00009800171,0.00001807161,0.0003977155,0.0000516137,0.00103785,0.000116587,0.00008255967],"category_scores_gemma":[0.000167194,0.00005706729,0.00003138408,0.00007638906,0.0000899011,0.0001445847,0.0001044054,0.0002085637,0.00001039867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006022688,"about_ca_system_score_gemma":0.00003076439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004258908,"about_ca_topic_score_gemma":0.03973735,"domain_scores_codex":[0.9994907,0.00004878733,0.0001441549,0.0000986306,0.0001215478,0.00009611907],"domain_scores_gemma":[0.9984138,0.00007819437,0.0001798667,0.001221657,0.00006678102,0.00003968027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004705049,0.00001701723,0.9814534,0.000009392568,0.00001692613,2.99469e-7,0.00009438534,0.00001281871,0.0001515467,0.000712298,0.0007352306,0.01679205],"study_design_scores_gemma":[0.0002429852,0.00003812372,0.9441676,0.00003835286,0.00003383336,0.000006428704,0.0001416033,0.02297496,0.0001717335,0.001209701,0.03079141,0.000183278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933815,0.005628818,0.00004629127,0.001385961,0.0003395581,0.0001555251,0.000152056,0.00003725122,0.1988731],"genre_scores_gemma":[0.9987061,0.0002275335,0.0004981818,0.00005465781,0.00003230466,6.604999e-7,0.000189362,0.000001682319,0.0002895033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2053247,"threshold_uncertainty_score":0.9777849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299571332510503,"score_gpt":0.2490141821589619,"score_spread":0.2360184688338569,"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."}}