{"id":"W1995781463","doi":"10.1061/(asce)0733-9496(2008)134:3(205)","title":"Hydrologic and Economic Implications of Climate Change for Typical River Basins of the Agricultural Midwestern United States","year":2008,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Climate change; Agriculture; Environmental science; Precipitation; Productivity; Drainage basin; Streamflow; Effects of global warming; Irrigation; Hydrology (agriculture); Climate model; Agricultural productivity; Water resources; Water resource management; Geography; Global warming; Ecology; Geology; Meteorology","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":[0.0001066594,0.00005480123,0.00009879029,0.00004289472,0.00008337657,0.000007427342,0.00008931424,0.00002081075,0.000004279419],"category_scores_gemma":[8.268618e-7,0.00002727688,0.00003384318,0.00002857403,0.0001122834,0.00006145678,0.0001119902,0.00003951402,4.986134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001476694,"about_ca_system_score_gemma":3.699936e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002167505,"about_ca_topic_score_gemma":0.000006172671,"domain_scores_codex":[0.9995767,0.00001886617,0.0001902275,0.00006393446,0.00005664307,0.00009363895],"domain_scores_gemma":[0.9997556,0.000017285,0.0001415252,0.00005353503,0.000005281687,0.00002681043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000131332,0.00005780915,0.9471592,0.00006697531,0.00009278212,0.000006111984,0.01085851,0.03988773,0.0006035982,0.0001122806,0.0002129347,0.0008107624],"study_design_scores_gemma":[0.0004129742,0.0001308102,0.9803236,0.00004808658,0.00006815695,0.00009953056,0.0002412497,0.006090255,0.0001646655,0.0002153922,0.01214052,0.00006473126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990299,0.00004660642,0.00005333505,0.0004621345,0.00002161305,0.0001136215,0.00003309591,0.000002170059,0.0002375025],"genre_scores_gemma":[0.9991356,0.0004223316,0.0002825926,0.00005838834,0.00001159209,0.000004811461,0.000008243811,0.00000253435,0.00007394749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03379747,"threshold_uncertainty_score":0.1112319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726012917209076,"score_gpt":0.2105842977041703,"score_spread":0.1933241685320795,"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."}}