{"id":"W2024092934","doi":"10.1039/c4lc00608a","title":"Chip-off-the-old-rock: the study of reservoir-relevant geological processes with real-rock micromodels","year":2014,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Suncor Energy (Canada); University of Toronto","funders":"Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; University of Toronto; Suncor Energy Incorporated","keywords":"Micromodel; Calcite; Dissolution; Microfluidics; Geology; Petroleum engineering; Substrate (aquarium); Enhanced oil recovery; Carbonate; Mineralogy; Nanotechnology; Materials science; Geotechnical engineering; Porous medium; Porosity; Chemical engineering; Metallurgy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001431291,0.0002246129,0.0003245426,0.0001413863,0.0001759251,0.0004534616,0.0004858049,0.0004648172,0.0007978753],"category_scores_gemma":[0.0002922553,0.0001753853,0.0002167455,0.0001651042,0.0005163525,0.0004728089,0.0003928092,0.0003643561,0.0001352726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004137701,"about_ca_system_score_gemma":0.0006248701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583711,"about_ca_topic_score_gemma":0.002930349,"domain_scores_codex":[0.9998987,0.00001348089,0.000004550444,0.0000364293,0.00002778053,0.00001905481],"domain_scores_gemma":[0.9998096,0.00008062061,0.00003109358,0.00004571279,0.00001308294,0.00001993311],"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":[0.00008754917,0.0001140807,0.003608701,0.0001826858,0.00003323353,0.0002074607,0.000127235,0.09939688,0.8734154,0.008882901,0.0003585954,0.01358542],"study_design_scores_gemma":[0.00002763467,0.0001945553,0.005630196,0.000009740526,0.00002067506,0.0001881984,0.0000971375,0.6149321,0.3687408,0.002778491,0.007324122,0.0000563378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7859492,0.0008076705,0.2085245,0.0002451964,0.00007654171,0.00006612279,0.0005626575,0.0005745058,0.003193624],"genre_scores_gemma":[0.9152931,0.0005019744,0.08267877,0.00004937785,0.00001519279,0.00009695174,0.000220349,0.00003118758,0.001113044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001583711,"threshold_uncertainty_score":0.003148973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130913069811445,"score_gpt":0.2588322847858302,"score_spread":0.2375231540877158,"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."}}