{"id":"W1891455114","doi":"10.5194/hess-20-1621-2016","title":"Factors influencing stream baseflow transit times in tropical montane watersheds","year":2016,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Consejo Nacional de Ciencia y Tecnología; National Science Foundation","keywords":"Baseflow; Hydrology (agriculture); Bedrock; Drainage basin; Watershed; Environmental science; Geology; STREAMS; Land cover; Land use; Streamflow; Geomorphology; Geography; Ecology","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":[0.0002804103,0.00009822203,0.000111661,0.0005282976,0.0002841355,0.0004423717,0.0001124254,0.00009525609,0.0007713333],"category_scores_gemma":[0.001146629,0.0000724007,0.0001116269,0.0007155286,0.0002052588,0.0002493899,0.0002254224,0.0001145727,0.00005770984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497783,"about_ca_system_score_gemma":0.000236364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02839866,"about_ca_topic_score_gemma":0.04859177,"domain_scores_codex":[0.9998972,0.00002374628,0.000007910556,0.00002799694,0.00001459015,0.00002855005],"domain_scores_gemma":[0.9992697,0.0002030975,0.0003200218,0.00003308712,0.00007279885,0.0001012778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000040283,0.000008800331,0.9969978,0.000004162488,0.00001077468,0.00005524005,0.0002758131,0.0001686155,0.001160441,0.00002050405,0.00003029857,0.001227201],"study_design_scores_gemma":[5.598104e-7,0.000006621834,0.9996113,7.711213e-7,0.000002439859,0.00001372622,0.0001050448,0.0001744364,0.0000400553,0.000005569447,0.00003881586,6.092891e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998046,0.00001196781,0.00002379107,0.000003413835,2.11513e-7,0.000001075425,0.00007627612,0.000001494482,0.00007717207],"genre_scores_gemma":[0.9997622,0.0000162812,0.00003688214,0.00000154576,0.000001128498,0.000002275032,0.0001369803,0.000001000784,0.00004176868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02839866,"threshold_uncertainty_score":0.0564667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329317257277922,"score_gpt":0.203789927062159,"score_spread":0.1904967544893797,"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."}}