{"id":"W239912766","doi":"10.1007/s10596-015-9480-0","title":"A reactive transport benchmark on modeling biogenic uraninite re-oxidation by Fe(III)-(hydr)oxides","year":2015,"lang":"en","type":"article","venue":"Computational Geosciences","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Benchmark (surveying); Hydrogeology; Biogeochemical cycle; Advection; Weighting; Dispersion (optics); Discretization; Computer science; Chemistry; Geology; Thermodynamics; Physics; Mathematics; Geotechnical engineering","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":[0.0003795727,0.0002018241,0.0001690479,0.00006574551,0.0003043019,0.00008887635,0.0002946295,0.00008354456,0.0001702521],"category_scores_gemma":[0.00007788227,0.0001919237,0.00006724375,0.0003342177,0.0001515145,0.000514704,0.00001794791,0.0001713766,0.00001378307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197365,"about_ca_system_score_gemma":0.000248813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007986939,"about_ca_topic_score_gemma":0.000004085759,"domain_scores_codex":[0.9981496,0.00002073373,0.00031898,0.0005117655,0.0007259224,0.0002729584],"domain_scores_gemma":[0.9991643,0.0001606864,0.0001734234,0.0001260959,0.0002050186,0.0001704274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005043634,0.0005031755,0.006733375,0.0001288254,0.0001268622,0.00001994238,0.004479053,0.6940408,0.28363,0.0006719436,0.002007337,0.007154351],"study_design_scores_gemma":[0.001820004,0.0001369706,0.0003431793,0.0002478066,0.00006824903,0.00002981401,0.004643043,0.7392744,0.2258523,0.02400509,0.002639636,0.000939439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559333,0.0002151476,0.01813953,0.0002844847,0.0001018687,0.00005716956,0.00005453601,0.00008019078,0.02513371],"genre_scores_gemma":[0.9968965,0.000006479863,0.001825858,0.0001376453,0.0001451694,0.0000173452,0.0004774425,0.00001083238,0.0004827022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05777765,"threshold_uncertainty_score":0.7826419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161975014915107,"score_gpt":0.2794135812383584,"score_spread":0.2377938310892073,"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."}}