{"id":"W3095624551","doi":"10.1021/acs.energyfuels.0c02324","title":"Enhanced Oil Recovery from Austin Chalk Carbonate Reservoirs Using Faujasite-Based Nanoparticles Combined with Low-Salinity Water Flooding","year":2020,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enhanced oil recovery; Chemical engineering; Nanoparticle; Carbonate; Wetting; Materials science; Surface modification; Petroleum engineering; Nanotechnology; Geology; Metallurgy","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":[0.00006891359,0.0003131617,0.0001898209,0.0001699526,0.0001148544,0.0001927618,0.0001360827,0.0002727206,0.0004503493],"category_scores_gemma":[0.0001152452,0.0001516488,0.000207103,0.000109877,0.0001710886,0.0002366041,0.0001839869,0.0002448838,0.0001444162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982899,"about_ca_system_score_gemma":0.0001286404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014406,"about_ca_topic_score_gemma":0.004200887,"domain_scores_codex":[0.9999539,0.000003321032,0.000003657242,0.0000114109,0.00001516401,0.00001258609],"domain_scores_gemma":[0.9999688,0.000005938371,0.000008230919,0.00000235201,0.000008711934,0.000006002129],"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":[0.00003236401,0.000006376579,0.00007794028,0.00006900715,0.000003348692,0.00006939746,0.00001925984,0.000166205,0.9978398,0.0000583424,0.00003604064,0.00162189],"study_design_scores_gemma":[0.000004332746,0.000062906,0.0004639532,0.00000344461,0.000006103222,0.00005190089,0.00001650443,0.0009412963,0.9974542,0.00001635087,0.000973975,0.000005017884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945596,0.0007479247,0.002271714,0.00006482914,0.00002623844,0.00002172066,0.00007373562,0.00007477147,0.002159445],"genre_scores_gemma":[0.9954223,0.0004428556,0.002291198,0.00003550102,0.000004189529,0.00002102141,0.00006571142,0.00001634385,0.001700953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0014406,"threshold_uncertainty_score":0.00286442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493552700184935,"score_gpt":0.2110914314138865,"score_spread":0.1961559044120371,"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."}}