{"id":"W3135749388","doi":"10.3390/w13050645","title":"Sustainable Surface Water Storage Development Pathways and Acceptable Limits for River Basins","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Water resources management and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Structural basin; Water storage; Surface runoff; Environmental science; Hydrology (agriculture); Drainage basin; Sustainability; Surface water; Streamflow; Water resources; Water resource management; Environmental engineering; Engineering; Geology; Geography; Ecology; Geotechnical 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":[0.002206233,0.0003840646,0.0002627281,0.001326419,0.00042027,0.001582706,0.0006685603,0.0004396793,0.001766299],"category_scores_gemma":[0.005571951,0.000284445,0.0003595789,0.0009207004,0.001159606,0.00234703,0.001243999,0.0005363513,0.0001322301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360171,"about_ca_system_score_gemma":0.001417879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428502,"about_ca_topic_score_gemma":0.00282113,"domain_scores_codex":[0.9989017,0.0004129751,0.00008198955,0.0001021689,0.0003680893,0.0001330529],"domain_scores_gemma":[0.9977158,0.0009824455,0.0004434873,0.0001830366,0.0005293214,0.0001458818],"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":[0.00006245675,0.00003451473,0.0062037,0.0001461226,0.00002854844,0.0001009068,0.0003662119,0.690731,0.002790952,0.2630181,0.001228491,0.03528893],"study_design_scores_gemma":[0.00002235014,0.0001604105,0.004968124,0.0002185655,0.00001993876,0.0001604285,0.001086987,0.3919921,0.005852743,0.5781717,0.01727678,0.00006988208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4029462,0.002073811,0.5531393,0.001554962,0.00003105221,0.0001573245,0.0008580666,0.0004464349,0.03879303],"genre_scores_gemma":[0.9659387,0.0006244802,0.03163249,0.000030828,0.000008110869,0.0001416347,0.0002172189,0.00004786588,0.001358604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002428502,"threshold_uncertainty_score":0.01166785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196986247071819,"score_gpt":0.1760538391113244,"score_spread":0.1640839766406062,"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."}}