{"id":"W1895260358","doi":"10.1002/hyp.9695","title":"Towards hydrological model calibration and validation: simulation of stable water isotopes using the isoWATFLOOD model","year":2012,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"University of Waterloo","keywords":"Environmental science; Surface runoff; Calibration; Watershed; Hydrology (agriculture); Hydrological modelling; Catchment hydrology; Scale (ratio); Climatology; Geology; Computer science; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004682262,0.0001687249,0.0002033849,0.00002358408,0.0003387657,0.000022427,0.0001666447,0.0001330095,0.0002118768],"category_scores_gemma":[0.00008680337,0.0000851225,0.00003197981,0.0001207859,0.0004589001,0.0006673353,0.0004019617,0.0001161162,0.00001023655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002038454,"about_ca_system_score_gemma":0.000005436023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002475595,"about_ca_topic_score_gemma":0.000003982977,"domain_scores_codex":[0.9987842,0.00008095051,0.0002589802,0.0002693444,0.0002271997,0.0003793453],"domain_scores_gemma":[0.9996293,0.00007161119,0.00007949907,0.0001445631,0.00001597737,0.00005910226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004891741,0.0001114954,0.01452254,0.00003568699,0.00001557332,3.726341e-7,0.000865965,0.9817743,0.002359587,0.0001595736,0.00003659364,0.00006940179],"study_design_scores_gemma":[0.0001631515,0.00006904885,0.0003668569,0.000003005879,0.00005828401,0.000002006374,0.0000290533,0.9781929,0.00829855,0.0125833,0.0001070411,0.0001267532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8906177,0.0001263051,0.1064116,0.001016498,0.00002151586,0.0002509376,0.000003256359,0.00004495928,0.001507225],"genre_scores_gemma":[0.9978637,0.00005556041,0.001260104,0.000628487,0.00003333631,0.00002926949,0.0000103684,0.00000776924,0.0001113767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1072461,"threshold_uncertainty_score":0.3471195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05307312301367772,"score_gpt":0.2691977228373833,"score_spread":0.2161245998237056,"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."}}