{"id":"W3208240611","doi":"10.3389/fclim.2021.722447","title":"Synthetic Fluid Inclusions XXIV. In situ Monitoring of the Carbonation of Olivine Under Conditions Relevant to Carbon Capture and Storage Using Synthetic Fluid Inclusion Micro-Reactors: Determination of Reaction Rates","year":2021,"lang":"en","type":"article","venue":"Frontiers in Climate","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Eötvös Loránd Tudományegyetem; Emberi Eroforrások Minisztériuma; National Science Foundation","keywords":"Carbonation; Magnesite; Olivine; Raman spectroscopy; Nucleation; Mineralization (soil science); Fluid inclusions; Mineralogy; Analytical Chemistry (journal); Reaction rate; Seawater; Brucite; Chemical engineering; Chemistry; Materials science; Hydrothermal circulation; Geology; Metallurgy; Catalysis; Magnesium; Chromatography","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":[0.0003295245,0.0001167108,0.0002167361,0.0001770819,0.0001363532,0.000007576285,0.0001044269,0.0001021319,0.00002062511],"category_scores_gemma":[0.0002573334,0.0001045168,0.00004525177,0.0004523391,0.0001364356,0.0001501169,0.0004396637,0.0001449181,3.770009e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244336,"about_ca_system_score_gemma":0.00003810289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150583,"about_ca_topic_score_gemma":0.0013948,"domain_scores_codex":[0.9987398,0.0001842858,0.0004476577,0.0002380551,0.0002349975,0.0001552148],"domain_scores_gemma":[0.9993341,0.0001198844,0.0002294642,0.0002288345,0.00005330714,0.00003443312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000209382,0.0001049132,0.06375346,0.00003208591,0.00000386416,0.000002751062,0.001951381,0.003873213,0.9299709,0.0000275684,0.000004607772,0.0002542875],"study_design_scores_gemma":[0.0003478748,0.0000562878,0.4107183,0.0007071564,0.00005520573,0.00002461023,0.004084459,0.02017857,0.5624074,0.001208234,0.00003421802,0.0001776602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978126,0.000108213,0.0004447872,0.0003716824,0.0005020559,0.0002492382,0.00002236648,0.000007537661,0.0004815585],"genre_scores_gemma":[0.9975001,0.0001167422,0.002299794,0.00001831235,0.00001054901,0.00001041568,0.00001027632,0.000009233062,0.00002461827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3675635,"threshold_uncertainty_score":0.4262071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293585887686675,"score_gpt":0.2729468105532382,"score_spread":0.2600109516763714,"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."}}