{"id":"W3186054563","doi":"","title":"Reactive transport modelling of geological storage of CO2 with impurities: lessons learned","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Solubility; Flue gas; Petroleum engineering; Carbon capture and storage (timeline); Environmental science; Chemistry; Impurity; Process engineering; Chemical engineering; Engineering; Geology; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228329,0.001299678,0.001212748,0.0005845752,0.0007545595,0.001924796,0.001950274,0.002763428,0.002840032],"category_scores_gemma":[0.0035655,0.0007683497,0.001759494,0.0007203498,0.0009455172,0.002073754,0.001023804,0.002268201,0.0004605557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002119947,"about_ca_system_score_gemma":0.002597327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1044869,"about_ca_topic_score_gemma":0.03776917,"domain_scores_codex":[0.9996511,0.0001049968,0.00003078826,0.00006747599,0.00009136538,0.00005435189],"domain_scores_gemma":[0.9982859,0.0009478194,0.0001021334,0.0000914844,0.0004901626,0.00008244977],"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":[0.00001640913,0.00001355548,0.0005620378,0.00003713265,0.000009459155,0.00004248827,0.00002499362,0.9955351,0.0006495447,0.001781644,0.0001550937,0.001172424],"study_design_scores_gemma":[0.000005395646,0.00000655141,0.00009159464,0.000005580242,0.000003508563,0.000005112696,0.00001311889,0.998518,0.0002005013,0.0006773384,0.000466601,0.000006704565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5064761,0.002976455,0.4223686,0.008199162,0.0007453453,0.0004740783,0.003804451,0.001763151,0.05319273],"genre_scores_gemma":[0.9496498,0.001409326,0.03842314,0.0003078094,0.00009871404,0.0001984793,0.001126349,0.000395505,0.008390921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044869,"threshold_uncertainty_score":0.2077574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181587581531312,"score_gpt":0.2531557710854273,"score_spread":0.2313398952701141,"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."}}