{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001693579,0.000114063,0.0001902528,0.00007180754,0.0001706884,0.00003420693,0.001060101,0.00006216238,0.001803788],"category_scores_gemma":[0.00002266577,0.00007580017,0.00002296207,0.0001533498,0.000587012,0.0002217198,0.002424137,0.0002066325,0.00099957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001190792,"about_ca_system_score_gemma":0.000006104747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01729897,"about_ca_topic_score_gemma":0.002222728,"domain_scores_codex":[0.9978039,0.0002577553,0.0002122841,0.0004468068,0.0007596642,0.0005196154],"domain_scores_gemma":[0.9989984,0.00004394267,0.00002403413,0.0007886446,0.00001950146,0.0001254784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007693557,0.0006434281,0.7524266,0.00006829605,0.0003573036,0.0001298968,0.04679488,0.005672524,0.002586718,0.00008396641,0.1855919,0.004875122],"study_design_scores_gemma":[0.001447611,0.0004579494,0.008433938,0.00002837207,0.00004736318,0.000001714879,0.005027226,0.02245955,0.009992635,0.007483913,0.9442215,0.0003982143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623001,0.00009940365,0.0001696106,0.004725232,0.00004929046,0.0003092625,0.00009481418,0.00002736141,0.03222497],"genre_scores_gemma":[0.9873293,0.00002320665,0.000386775,0.00005505009,0.00003340364,0.00001580976,0.0003488974,0.00001276802,0.01179477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7586296,"threshold_uncertainty_score":0.9997783,"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."}}