{"id":"W2331921730","doi":"10.1021/es303319q","title":"Measurement of CO<sub>2</sub> Diffusivity for Carbon Sequestration: A Microfluidic Approach for Reservoir-Specific Analysis","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Carbon sequestration; Thermal diffusivity; Carbon dioxide; Diffusion; Salinity; Chemistry; Brine; Microfluidics; Analytical Chemistry (journal); Thermodynamics; Materials science; Environmental chemistry; Nanotechnology; Geology","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":[0.0002933049,0.0004441972,0.0003367696,0.0003380179,0.0002473402,0.000382813,0.0005372326,0.000565201,0.0004554279],"category_scores_gemma":[0.0007454967,0.0001885012,0.0001874423,0.0002716967,0.0003353386,0.0005963999,0.000387628,0.0004292661,0.0001483681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005026801,"about_ca_system_score_gemma":0.0003718786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005214631,"about_ca_topic_score_gemma":0.001091208,"domain_scores_codex":[0.9998252,0.00002235959,0.00001141339,0.00004970968,0.00007173893,0.0000196294],"domain_scores_gemma":[0.9995572,0.0002078695,0.00007411462,0.00004136734,0.00009142252,0.00002804264],"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":[0.0000342362,0.00001926639,0.001207556,0.00007648025,0.00001035692,0.00002982019,0.00001417937,0.0007309255,0.9921221,0.0004650363,0.0001194855,0.00517073],"study_design_scores_gemma":[0.000004151023,0.00007486012,0.002215163,0.000004728968,0.00001424805,0.0001118793,0.00001287381,0.01633118,0.9796908,0.0001807719,0.001344143,0.00001504446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6993188,0.007101987,0.2861693,0.000735233,0.0002395083,0.0002103011,0.001119003,0.0007970792,0.004308698],"genre_scores_gemma":[0.9098066,0.00171065,0.08715484,0.0001036972,0.00003874761,0.0001918273,0.0001962515,0.00002279434,0.0007746109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000565201,"threshold_uncertainty_score":0.003647208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459757392489733,"score_gpt":0.2509328443149442,"score_spread":0.2263352703900468,"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."}}