{"id":"W3061012882","doi":"10.1007/s40808-020-00941-4","title":"Usage of long-term river discharge data in water balance model for assessment of trends in basin storages","year":2020,"lang":"en","type":"article","venue":"Modeling Earth Systems and Environment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Ministry of Education, India","keywords":"Water balance; Structural basin; Environmental science; Hydrology (agriculture); Drainage basin; Water storage; Discharge; Climate change; Surface water; Water resource management; Geography; Geology; Environmental engineering; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.0004184844,0.0001284608,0.00030777,0.00004509081,0.0000354342,0.000005645592,0.0001821762,0.00004555646,0.00004990922],"category_scores_gemma":[0.000001823514,0.00009723064,0.00002533798,0.00003735421,0.00009610662,0.0001646833,0.0004456525,0.00006726255,0.000002987217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002453574,"about_ca_system_score_gemma":0.000001423324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002520292,"about_ca_topic_score_gemma":0.00006399003,"domain_scores_codex":[0.9988259,0.00004377291,0.0003532543,0.0003865089,0.0001705848,0.0002199473],"domain_scores_gemma":[0.9996213,0.00001020919,0.00006288084,0.0002630703,0.000001004224,0.00004149171],"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":[0.00001779682,0.00005926497,0.3235029,0.00007492835,0.00001275384,0.000002166793,0.0009979517,0.6739753,0.0008998935,0.000009792254,0.00002128619,0.0004259483],"study_design_scores_gemma":[0.0005460485,0.00005131185,0.09691656,0.00002516583,0.0000140406,2.102448e-7,0.00003793741,0.902188,0.00005204147,0.00001609872,0.00005496359,0.00009759462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911787,0.00009335581,0.08728255,0.0004023688,0.00002448236,0.000269367,0.00004731628,0.000004471102,0.00008907175],"genre_scores_gemma":[0.9984835,0.0001548861,0.001040613,0.00004637999,0.000009102165,0.00003040224,0.00006006375,0.000009033723,0.0001660679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2282127,"threshold_uncertainty_score":0.396495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05729502113686236,"score_gpt":0.2670074005321117,"score_spread":0.2097123793952493,"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."}}