{"id":"W2535601037","doi":"10.1016/j.colsurfa.2016.10.038","title":"Capillary driven flow in nanochannels – Application to heavy oil rheology studies","year":2016,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dow Chemical (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rheology; Capillary action; Bingham plastic; Materials science; Asphalt; Asphaltene; Newtonian fluid; Composite material; Micromodel; Contact angle; Chemical engineering; Thermodynamics; Porous medium; Chemistry; Porosity; Organic chemistry","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":[0.0003352523,0.0002037242,0.0001988854,0.0002672837,0.0002621108,0.0002925494,0.0002726545,0.0002341646,0.0008684401],"category_scores_gemma":[0.0003732848,0.0001061276,0.0002015,0.0001798631,0.0003833369,0.0003448272,0.0002278886,0.0003659841,0.0001173075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004478176,"about_ca_system_score_gemma":0.0002496233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870699,"about_ca_topic_score_gemma":0.001474206,"domain_scores_codex":[0.9998784,0.00001969207,0.00000565697,0.00002771334,0.00003556964,0.00003308358],"domain_scores_gemma":[0.9997398,0.0001211539,0.00003463255,0.00002214188,0.00005628305,0.00002596174],"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":[0.00006634395,0.00003600243,0.0001378583,0.00004299699,0.00000445004,0.00003344,0.00005102115,0.0003811568,0.9957348,0.000480709,0.00006985492,0.002961466],"study_design_scores_gemma":[0.0000130377,0.0001126868,0.0009744263,0.000003769519,0.000004449337,0.00004017914,0.00002724154,0.007833837,0.9897743,0.00008727407,0.001117843,0.00001091702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876242,0.001493794,0.009004686,0.0000793987,0.0000360374,0.00005714283,0.00008733407,0.00009015913,0.001527418],"genre_scores_gemma":[0.9916198,0.0008223208,0.005963084,0.0000312417,0.00001643716,0.00003221289,0.00006315181,0.00001818125,0.00143355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001870699,"threshold_uncertainty_score":0.003719628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005675581957935339,"score_gpt":0.2111058521965289,"score_spread":0.2054302702385936,"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."}}