{"id":"W1983156380","doi":"10.1007/s10596-014-9443-x","title":"Reactive transport codes for subsurface environmental simulation","year":2014,"lang":"en","type":"article","venue":"Computational Geosciences","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":814,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Benchmark (surveying); Subsurface flow; Porous medium; Hydrogeology; Computer science; Engineering; Groundwater; Geology; Geotechnical engineering; Porosity","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":[0.0002754666,0.00008994158,0.00009144728,0.00002293413,0.000332351,0.00002307486,0.0001316525,0.00002221109,0.0001455066],"category_scores_gemma":[0.0000208732,0.00007851302,0.00004192311,0.00009506156,0.0002680858,0.0002811887,0.00002823401,0.00002728148,0.00009409756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005256511,"about_ca_system_score_gemma":0.00000570892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003922237,"about_ca_topic_score_gemma":0.00002969015,"domain_scores_codex":[0.999064,0.00002631817,0.0001436973,0.0002741071,0.0003372889,0.0001546151],"domain_scores_gemma":[0.9995527,0.000275909,0.00006072173,0.00005753824,0.000009436097,0.00004367223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000179383,0.00007730575,0.1656258,0.000003280481,0.000007702958,2.526626e-7,0.001010637,0.7967367,0.001156901,0.0008022988,0.0001057461,0.03445538],"study_design_scores_gemma":[0.000230515,0.00007446548,0.6271266,0.000002111755,0.00000792221,8.863751e-7,0.000176494,0.3498025,0.0001916106,0.003381871,0.01888058,0.0001244253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5530836,0.00000581732,0.4460065,0.0001108988,0.00007132749,0.0001142303,0.0000132708,0.00001783408,0.0005764706],"genre_scores_gemma":[0.9930425,5.50805e-7,0.005462439,0.0001788185,0.00002636261,0.00002516221,0.00004395963,0.000004247704,0.001215901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4615008,"threshold_uncertainty_score":0.3201668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326217644300623,"score_gpt":0.2419713088747243,"score_spread":0.2287091324317181,"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."}}