{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776848,0.0002513559,0.0001287333,0.0003505746,0.0001530042,0.0003744562,0.0001317461,0.0003138288,0.001192039],"category_scores_gemma":[0.0004852909,0.0001084809,0.0002712524,0.0005399668,0.0003067822,0.0003443176,0.0004755859,0.0001615846,0.0001440798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004995874,"about_ca_system_score_gemma":0.0002133627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00465665,"about_ca_topic_score_gemma":0.003555071,"domain_scores_codex":[0.9999319,0.00001418472,0.000004632222,0.00001977062,0.000009602718,0.00001986008],"domain_scores_gemma":[0.9998424,0.00001810536,0.00008081131,0.00001625329,0.00002380936,0.00001854266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004177285,0.0000699039,0.7954209,0.0002411962,0.0004078831,0.00073261,0.0003065391,0.03192575,0.124999,0.004336595,0.001643912,0.03949794],"study_design_scores_gemma":[0.00001206538,0.00009904436,0.9737251,0.00001558755,0.0001014292,0.0001837611,0.000282259,0.01119129,0.007067717,0.0021195,0.005173481,0.00002875598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949644,0.0003199787,0.0008202191,0.0002120569,0.00001223637,0.000002980974,0.0007794143,0.00007024041,0.002818525],"genre_scores_gemma":[0.999278,0.0001915515,0.0001564666,0.00003334513,0.000003529682,0.000001845697,0.000188502,0.000004316215,0.0001423072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00465665,"threshold_uncertainty_score":0.009259105,"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."}}