{"id":"W3042071687","doi":"10.1021/acsomega.0c02005","title":"Development of a Microfluidic Method to Study Enhanced Oil Recovery by Low Salinity Water Flooding","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Det Norske Videnskaps-Akademi; Equinor","keywords":"Brine; Micromodel; Petroleum engineering; Enhanced oil recovery; Porous medium; Saturation (graph theory); Environmental science; Dilution; Oil in place; Materials science; Porosity; Geotechnical engineering; Geology; Chemistry; Petroleum; Thermodynamics","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":[0.0002848833,0.0003686114,0.000278041,0.0002543501,0.0001291771,0.0001994323,0.0002976348,0.000309703,0.0004227784],"category_scores_gemma":[0.0003478042,0.0001661683,0.0002307103,0.0001369853,0.0002439291,0.000320005,0.0002457389,0.0004178741,0.000167921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611607,"about_ca_system_score_gemma":0.000286836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004153191,"about_ca_topic_score_gemma":0.0004606649,"domain_scores_codex":[0.9998673,0.00001534551,0.0000145651,0.00003567707,0.00004483536,0.00002224215],"domain_scores_gemma":[0.9998437,0.00005723784,0.0000453212,0.00001366322,0.00002778881,0.00001230369],"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":[0.000009159112,0.00001029296,0.0000532247,0.00003060888,0.000001923551,0.00001936931,0.000009495086,0.0001104881,0.9980262,0.0001301731,0.00001702585,0.001582108],"study_design_scores_gemma":[0.000004810141,0.00008421599,0.0003777096,0.000002860383,0.000004123476,0.00004502756,0.000005061568,0.001807127,0.9966165,0.00004127755,0.001004903,0.000006383038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7056879,0.003430616,0.2861035,0.0003725099,0.0001989574,0.000490279,0.0005250171,0.0007153008,0.002475915],"genre_scores_gemma":[0.8322107,0.002335742,0.1622936,0.0001161247,0.00004174907,0.0005529023,0.0002440957,0.00003690084,0.002168201],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0004227784,"threshold_uncertainty_score":0.001894832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631227457717184,"score_gpt":0.2606143374295505,"score_spread":0.2443020628523786,"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."}}