{"id":"W2972727705","doi":"10.1029/2019gb006276","title":"Sediment Respiration Pulses in Intermittent Rivers and Ephemeral Streams","year":2019,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Horizon 2020 Framework Programme; Eusko Jaurlaritza; European Cooperation in Science and Technology; European Commission; Ministerio de Ciencia, Innovación y Universidades; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministerio de Economía y Competitividad; National Science Foundation","keywords":"STREAMS; Ephemeral key; Respiration; Sediment; Hydrology (agriculture); Environmental science; Geology; Oceanography; Ecology; Geomorphology; Biology; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00007373097,0.0001042682,0.0001096173,0.00001419708,0.00003349542,0.00001095495,0.00009428239,0.0000561253,0.0003387458],"category_scores_gemma":[0.0000103743,0.00008933769,0.00002545166,0.00009160391,0.00016272,0.0001045091,0.0003211563,0.00005240199,0.0003055779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085955,"about_ca_system_score_gemma":0.000001261302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006900579,"about_ca_topic_score_gemma":0.0001379473,"domain_scores_codex":[0.9992445,0.00002158675,0.0001267578,0.0002798612,0.0001168256,0.000210455],"domain_scores_gemma":[0.9998138,0.00001123804,0.00002727594,0.0001014558,0.000001896594,0.00004432406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000417661,0.0000587415,0.9823651,0.00000566806,0.00001196154,0.000005699606,0.00005857987,0.00005714074,0.005129226,0.0001847372,0.001349112,0.01073224],"study_design_scores_gemma":[0.001199971,0.0001997696,0.9620256,0.00003094268,0.00002516601,0.000004337744,0.0001980791,0.0005415603,0.01313815,0.01312156,0.009162272,0.0003525913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888145,0.00004803438,0.000003606678,0.0009998925,0.00006038453,0.0001515891,0.00001393868,0.00002129015,0.009886795],"genre_scores_gemma":[0.9992707,0.00002860852,0.0001533259,0.0004738081,0.00001020279,0.000007446384,0.00001765442,0.000002071135,0.00003620974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02033952,"threshold_uncertainty_score":0.3927688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00690520356791281,"score_gpt":0.2225075670722299,"score_spread":0.2156023635043171,"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."}}