{"id":"W2088441735","doi":"10.1623/hysj.54.4.754","title":"Can the impacts of climate change on groundwater resources be studied without the use of transient models?","year":2009,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Aquifer; Groundwater; Climate change; Environmental science; Precipitation; Transient (computer programming); Groundwater flow; Water resources; Constraint (computer-aided design); Hydrology (agriculture); Water resource management; Computer science; Geology; Meteorology; Engineering; Geography; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256951,0.0001409943,0.0002182306,0.00004167845,0.0006315238,0.0001596479,0.000619292,0.00005524626,0.0002209053],"category_scores_gemma":[0.00003502809,0.0000505229,0.0001143171,0.0002484093,0.0007402485,0.0002891858,0.00001823315,0.0002789155,0.000002330053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004237427,"about_ca_system_score_gemma":0.00001716362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000497443,"about_ca_topic_score_gemma":0.0003981991,"domain_scores_codex":[0.998174,0.0001965368,0.0003281941,0.0001952904,0.0006383549,0.0004676628],"domain_scores_gemma":[0.9993085,0.0001732707,0.0001989476,0.0001559148,0.00004265493,0.0001206961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001412753,0.0006000848,0.7778469,0.00003578306,0.0001077167,0.00008522587,0.02335807,0.1191461,0.002036039,0.000769514,0.0006816087,0.07392026],"study_design_scores_gemma":[0.0004932308,0.004618193,0.9511425,0.00006717,0.00005179653,0.0002658614,0.000803216,0.03321894,0.0005977561,0.006498111,0.00200573,0.0002374587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888915,0.0002443617,0.00001422618,0.00844299,0.00008701557,0.0001413507,0.0000171902,0.000007628605,0.002153745],"genre_scores_gemma":[0.9972606,0.000441735,0.00008140785,0.00209398,0.0001066603,7.110468e-7,0.000001789109,0.000001020767,0.00001213029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1732957,"threshold_uncertainty_score":0.4857235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005050060094899,"score_gpt":0.2555678593769153,"score_spread":0.1550628533674255,"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."}}