{"id":"W4285268132","doi":"10.14796/jwmm.c487","title":"Regionalization of Low Flow Analysis in Data Scarce Region: The Case of the Lake Abaya-Chamo Sub-basin, Rift Valley Lakes Basin, Ethiopia","year":2022,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baseflow; Structural basin; Hydrogeology; Quantile; Hydrology (agriculture); Linear regression; Environmental science; Mean squared error; Regression analysis; Statistics; Drainage basin; Geology; Geography; Streamflow; Mathematics; Cartography; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220317,0.0003709235,0.0002926217,0.001487925,0.000280493,0.000940463,0.0003191476,0.000239028,0.0003898509],"category_scores_gemma":[0.002273548,0.0001318998,0.0003575921,0.001248721,0.0002971296,0.0004934533,0.0004535978,0.000204857,0.00006852656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706464,"about_ca_system_score_gemma":0.0007215566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02518908,"about_ca_topic_score_gemma":0.02957746,"domain_scores_codex":[0.9996403,0.0001223492,0.00002475902,0.0001065894,0.00005273197,0.00005314661],"domain_scores_gemma":[0.9994407,0.0002190083,0.0001196086,0.00006673462,0.0001196897,0.00003421321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002098916,0.00009894195,0.7835849,0.0001456782,0.0001895247,0.000984394,0.001426215,0.1127935,0.01383062,0.001659544,0.0002930541,0.08478376],"study_design_scores_gemma":[0.00001333191,0.00008549134,0.7685308,0.00004210172,0.0001065344,0.0002764976,0.00203046,0.2193308,0.006551265,0.001096278,0.001891636,0.00004482774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899939,0.0001552762,0.008671875,0.00004119271,0.00000298415,0.00002114595,0.0001972352,0.00005489113,0.0008616855],"genre_scores_gemma":[0.9947492,0.00006069105,0.004830174,0.00000372785,0.00000247037,0.00001023719,0.0001648731,0.000006361037,0.0001722357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02518908,"threshold_uncertainty_score":0.05008489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505913542758335,"score_gpt":0.2332792855495695,"score_spread":0.2082201501219862,"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."}}