{"id":"W2912489961","doi":"10.1021/acs.energyfuels.8b03749","title":"Nanopyroxene-Based Nanofluids for Enhanced Oil Recovery in Sandstone Cores at Reservoir Temperature","year":2019,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Islamic Development Bank","keywords":"Nanoparticle; Chemical engineering; Materials science; Thermogravimetric analysis; Aqueous solution; Silane; Enhanced oil recovery; Surface modification; Nanofluid; Sodium silicate; Coating; Nanomaterials; Dynamic light scattering; Fourier transform infrared spectroscopy; Brine; Nanotechnology; Chemistry; Organic chemistry; Composite material","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":[0.00008607778,0.0002124068,0.0001489381,0.0001196007,0.0001220439,0.0001391239,0.0001454567,0.0001784216,0.0005519502],"category_scores_gemma":[0.00009487046,0.0001216009,0.000144357,0.00008185217,0.0001540878,0.0003066515,0.000193345,0.0003263813,0.0001758586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197932,"about_ca_system_score_gemma":0.0001464229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007478865,"about_ca_topic_score_gemma":0.002056696,"domain_scores_codex":[0.9999536,0.000003290072,0.000004323708,0.00001206204,0.00001425489,0.000012428],"domain_scores_gemma":[0.9999526,0.00000807075,0.00001597766,0.000003547022,0.00001018246,0.000009726663],"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":[0.00002195222,0.000008802673,0.00003388143,0.00003226151,0.000001294556,0.00001768788,0.00001139432,0.0001048033,0.9988488,0.00005175518,0.0000192251,0.0008481145],"study_design_scores_gemma":[0.000003379705,0.00004365939,0.0002623569,0.000001527154,0.000002868685,0.00001021261,0.000005797307,0.001280566,0.9980439,0.000008680399,0.0003344353,0.000002672631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993935,0.0006093532,0.004114757,0.00004901577,0.00002536905,0.00002120672,0.00008783883,0.0001093001,0.001048087],"genre_scores_gemma":[0.9951717,0.0003255641,0.003011833,0.000019997,0.000005652076,0.00001562509,0.00005990327,0.00001798331,0.001371599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007478865,"threshold_uncertainty_score":0.001846433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005323854491725112,"score_gpt":0.211399602511657,"score_spread":0.2060757480199319,"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."}}