{"id":"W3088995186","doi":"10.3390/w12113046","title":"Change in Stream Flow of Gumara Watershed, upper Blue Nile Basin, Ethiopia under Representative Concentration Pathway Climate Change Scenarios","year":2020,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downscaling; Environmental science; Climate change; Representative Concentration Pathways; Watershed; Tributary; Soil and Water Assessment Tool; Hydrology (agriculture); SWAT model; Climate change scenario; Stream flow; Structural basin; Streamflow; Drainage basin; Climate model; Climatology; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002167397,0.0001881449,0.0002531487,0.00003094468,0.00009766987,0.00001568141,0.0001662471,0.0001010421,0.001797199],"category_scores_gemma":[0.00000857239,0.0001319735,0.00005737011,0.0001133817,0.0002259555,0.0004551196,0.0003987214,0.0001477121,0.0006510492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005659971,"about_ca_system_score_gemma":0.00000142936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008981914,"about_ca_topic_score_gemma":0.0002809207,"domain_scores_codex":[0.9984729,0.0001439936,0.0002755077,0.0004279339,0.0002049449,0.0004747634],"domain_scores_gemma":[0.9996618,0.00001553258,0.00005858063,0.0001832594,0.000008615144,0.00007221902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003729597,0.0002463853,0.7841478,0.0001315742,0.00009132281,0.00009186366,0.1927662,0.003197977,0.01433505,0.0001988121,0.001856853,0.002563185],"study_design_scores_gemma":[0.005878116,0.001047518,0.6352556,0.0001467172,0.0001567049,0.000005968157,0.00747733,0.02915698,0.3020456,0.001096798,0.01622833,0.001504274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841237,0.00002259508,0.00005761308,0.01336495,0.0001308638,0.0006710095,0.00002619658,0.0000400943,0.001562987],"genre_scores_gemma":[0.9945841,0.00009292279,0.0001428573,0.004782024,0.00008084909,0.0001308996,0.00007692254,0.00001544963,0.00009396817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2877106,"threshold_uncertainty_score":0.9991153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443938130539975,"score_gpt":0.2528655092193524,"score_spread":0.2184261279139527,"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."}}