{"id":"W3188436866","doi":"10.1016/j.ijggc.2021.103419","title":"Comparison of various reactive transport simulators for geological carbon sequestration","year":2021,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Abdullah University of Science and Technology; Computer Modelling Group","keywords":"Geochemical modeling; Benchmark (surveying); Workflow; Consistency (knowledge bases); Carbon sequestration; Computer science; Chemistry; Groundwater; Database; Engineering; Geology; Carbon dioxide","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002194901,0.0001077049,0.0002828228,0.00006284202,0.00003689346,0.00001631558,0.0002169405,0.00008705889,0.0005498889],"category_scores_gemma":[0.0002373805,0.00009396412,0.0001940055,0.00007305489,0.00009532755,0.0002026911,0.00001743679,0.0001930884,0.000005018128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575938,"about_ca_system_score_gemma":0.00008274304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000148348,"about_ca_topic_score_gemma":0.0004323923,"domain_scores_codex":[0.998529,0.00007445374,0.0006774605,0.0001456491,0.0004493654,0.0001241265],"domain_scores_gemma":[0.9986033,0.0002519315,0.0005625821,0.00009396573,0.0004182476,0.00006992872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002269903,0.001924421,0.7454513,0.000009215021,0.0006990372,0.0004499587,0.001554857,0.1211722,0.1109909,0.003316135,0.0005517981,0.0116103],"study_design_scores_gemma":[0.01916656,0.005589543,0.6184515,0.0002184375,0.0008839365,0.002340825,0.00173899,0.1729926,0.1184281,0.02431274,0.03476115,0.001115556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648368,0.00003106979,0.02927272,0.002432688,0.0006793148,0.0001551505,0.00002224829,0.00001459811,0.00255546],"genre_scores_gemma":[0.9982521,0.00001178061,0.001193348,0.0001939669,0.000166096,0.000005537854,0.0000115909,0.000007305032,0.0001582924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1269998,"threshold_uncertainty_score":0.6020898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054702703145354,"score_gpt":0.3149800369798488,"score_spread":0.2944330099483952,"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."}}