{"id":"W2980141913","doi":"10.1016/j.petrol.2019.106569","title":"Enhanced thermal conductivity and reduced viscosity of aegirine-based VR/VGO nanofluids for enhanced thermal oil recovery application","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanofluid; Materials science; Asphalt; Thermal conductivity; Chemical engineering; Asphaltene; Nanoparticle; Enhanced oil recovery; Viscosity; Composite material; Nanotechnology","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":[0.00009456761,0.0001895646,0.0001027287,0.0001230987,0.000095004,0.0001870765,0.0001528655,0.0002498426,0.000675809],"category_scores_gemma":[0.0001721546,0.00009066327,0.000152109,0.00006862753,0.0001421808,0.0003114316,0.0001440152,0.0003558775,0.000130564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175472,"about_ca_system_score_gemma":0.0001224863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004444024,"about_ca_topic_score_gemma":0.0009261793,"domain_scores_codex":[0.9999517,0.000004280645,0.000004533606,0.00001153257,0.0000141011,0.00001389169],"domain_scores_gemma":[0.9999593,0.000008299512,0.00001273026,0.000002629273,0.0000104442,0.000006422222],"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":[0.00002973097,0.000005768919,0.00003235316,0.0000350401,0.000001247105,0.00001954625,0.00001300554,0.0001118594,0.9985712,0.0001538805,0.00003472464,0.0009916977],"study_design_scores_gemma":[0.000005131854,0.00004865941,0.000255102,0.000003958599,0.000004601454,0.00002269479,0.000011904,0.001230937,0.9977754,0.00002144329,0.0006157884,0.000004402369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941024,0.000598095,0.003446119,0.00007374665,0.0000369778,0.00001152391,0.00008835558,0.00005567953,0.001587154],"genre_scores_gemma":[0.9959008,0.000276275,0.002410306,0.00003339911,0.000005002096,0.00001208006,0.00007289299,0.000009423114,0.001279855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000675809,"threshold_uncertainty_score":0.002260745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005019832101708264,"score_gpt":0.2122143768064835,"score_spread":0.2071945447047752,"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."}}