{"id":"W4376126052","doi":"10.1007/s13201-023-01932-3","title":"Assessing the effect of climate and land use changes on the hydrologic regimes in the upstream of Tajan river basin using SWAT model","year":2023,"lang":"en","type":"article","venue":"Applied Water Science","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Climate change; Environmental science; SWAT model; Arid; Representative Concentration Pathways; Drainage basin; Hydrology (agriculture); Water resources; Land use; Structural basin; Soil and Water Assessment Tool; Upstream (networking); Climatology; Climate model; Water resource management; Geography; Geology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.002472278,0.0001044484,0.0001279387,0.00005628045,0.0004241016,0.00005646357,0.0005116021,0.00002631362,0.000003049784],"category_scores_gemma":[0.0000212509,0.0000367872,0.00001694374,0.0002970435,0.001701018,0.0001721311,0.0006387105,0.00008579973,0.000009473942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001325224,"about_ca_system_score_gemma":0.000001923287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291345,"about_ca_topic_score_gemma":0.00002043934,"domain_scores_codex":[0.9989663,0.0001104207,0.0001050269,0.0002521868,0.0002534407,0.0003126645],"domain_scores_gemma":[0.9993451,0.0002771337,0.00005573173,0.0003068861,0.00000248057,0.00001269234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007350022,0.00005397221,0.7827377,0.00004783635,0.00002599284,0.00001183325,0.02076408,0.1367058,0.0524722,0.003483749,0.00008623589,0.003537118],"study_design_scores_gemma":[0.0008449037,0.0004078591,0.3988074,0.00005969292,0.00009515596,0.000006869766,0.00130485,0.3613558,0.2260863,0.01049476,0.0001560848,0.0003803759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957154,0.000003006384,0.00005430326,0.001991918,0.00001992088,0.0002908596,9.182739e-7,0.00001182499,0.001911823],"genre_scores_gemma":[0.9994684,0.00004168834,0.00006901538,0.0003727026,0.000003769684,0.00002388678,4.875708e-7,0.000003210842,0.00001677532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3839302,"threshold_uncertainty_score":0.6267471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929807623466171,"score_gpt":0.2609876387232537,"score_spread":0.231689562488592,"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."}}