{"id":"W2114494963","doi":"10.1002/2014wr016247","title":"Temporal dynamics of catchment transit times from stable isotope data","year":2015,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"TRACER; Surface runoff; Watershed; Flow (mathematics); Mixing (physics); Hydrology (agriculture); Environmental science; Transit time; Series (stratigraphy); Boundary (topology); Drainage basin; Geology; Mathematics; Computer science; Geography; Mechanics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007270572,0.0001347072,0.00009804273,0.0006275791,0.0001308751,0.0005110145,0.0002799258,0.0001808651,0.0004693848],"category_scores_gemma":[0.002570068,0.0001712501,0.0001532102,0.0006411218,0.0002938411,0.0005808181,0.0001934772,0.0001811324,0.00005657168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006771,"about_ca_system_score_gemma":0.0002935796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147765,"about_ca_topic_score_gemma":0.0160818,"domain_scores_codex":[0.9999115,0.00002152325,0.000005903848,0.00002733342,0.00002192194,0.00001164461],"domain_scores_gemma":[0.9994187,0.0003083674,0.0001350955,0.00004204386,0.00007042908,0.00002540423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003575365,0.00005613164,0.431271,0.00005760603,0.0001042312,0.0002398941,0.0003342531,0.4939807,0.0345317,0.009631727,0.000516665,0.02891842],"study_design_scores_gemma":[0.000008931484,0.00002080756,0.09528943,0.000004571023,0.00001535975,0.00004118164,0.00005390239,0.8989805,0.0031633,0.001813985,0.00059185,0.00001622368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832284,0.0000196261,0.0158814,0.00003339006,0.000002185204,0.000007054072,0.0002698377,0.0000542306,0.0005038754],"genre_scores_gemma":[0.997973,0.00001229258,0.001670546,0.000001669838,8.092419e-7,0.000004088115,0.0001761131,0.000007816437,0.0001537433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147765,"threshold_uncertainty_score":0.04270524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08395853639608815,"score_gpt":0.3172739872942073,"score_spread":0.2333154508981192,"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."}}