{"id":"W3048011831","doi":"10.1029/2019jg005616","title":"Travel Time and Source Variation Explain the Molecular Transformation of Dissolved Organic Matter in an Alpine Stream Network","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Dissolved organic carbon; Biogeochemical cycle; Environmental science; Carbon cycle; Spatial variability; Abiotic component; Spatial ecology; Biogeochemistry; Fluvial; Hydrology (agriculture); Atmospheric sciences; Chemistry; Environmental chemistry; Ecology; Ecosystem; Geology; Geomorphology; Structural basin; Biology","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":[0.0005433808,0.0001961067,0.0001979825,0.000763373,0.000291774,0.0007113493,0.000285995,0.0003209971,0.0008955537],"category_scores_gemma":[0.001773477,0.0001542916,0.0003608942,0.0005988522,0.0002116917,0.0004038546,0.0003056364,0.0001734637,0.00008780239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006303615,"about_ca_system_score_gemma":0.0002766174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239852,"about_ca_topic_score_gemma":0.01833211,"domain_scores_codex":[0.9998848,0.00003334992,0.000007639388,0.00004665291,0.0000114976,0.00001607937],"domain_scores_gemma":[0.9992477,0.0003640599,0.0001766612,0.00006043047,0.00008590572,0.0000653044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009023434,0.00004213329,0.9023384,0.00002826624,0.0001675848,0.0001132546,0.0001611276,0.08415524,0.003665907,0.0007376341,0.0002613919,0.008238771],"study_design_scores_gemma":[0.00001882519,0.00002806968,0.5189798,0.000008004718,0.00005304976,0.00006346556,0.0001247097,0.4787658,0.0004486264,0.0009891931,0.0005069962,0.00001332401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986351,0.00004610994,0.0009666266,0.00002831015,9.90647e-7,0.000002246369,0.0001676602,0.00001859488,0.0001343751],"genre_scores_gemma":[0.9994536,0.00002399164,0.0002554607,0.000002804611,0.000001823965,0.000002152065,0.0001781129,0.000003671302,0.00007842047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0239852,"threshold_uncertainty_score":0.04769117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627107534747013,"score_gpt":0.2599264815056653,"score_spread":0.2436554061581952,"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."}}