{"id":"W1984721439","doi":"10.1002/cjce.5450790614","title":"Numerical simulation of viscous fingering of shear‐thinning fluids","year":2001,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscous fingering; Shear thinning; Instability; Mechanics; Rheology; Hele-Shaw flow; Newtonian fluid; Non-Newtonian fluid; Materials science; Fractal; Carreau fluid; Flow (mathematics); Shear (geology); Shear flow; Porous medium; Physics; Mathematics; Open-channel flow; Porosity; Composite material; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009704666,0.00006604261,0.0001547238,0.00004162556,0.00002213952,0.00001043839,0.0001364422,0.00001930021,0.00005700236],"category_scores_gemma":[0.00002906219,0.00005244059,0.00009070419,0.0001355791,0.00004593739,0.00005286787,0.000008020733,0.0001701579,7.429804e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002505916,"about_ca_system_score_gemma":0.00010257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002810134,"about_ca_topic_score_gemma":4.350864e-7,"domain_scores_codex":[0.99944,0.00000713265,0.0002629764,0.00004021489,0.0001222535,0.0001274098],"domain_scores_gemma":[0.9994763,0.0001446374,0.00009337654,0.00006046707,0.00009861504,0.0001265882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008449694,0.000008379456,0.0003820471,0.000008915194,0.0000345507,0.000001809769,0.0001963044,0.9594298,0.01978331,0.01812754,0.000006252299,0.002012654],"study_design_scores_gemma":[0.0003916406,0.00005689393,0.0005379193,0.000209972,0.00004882236,0.00001471485,0.00003511649,0.8657371,0.1058622,0.02667833,0.0002481753,0.0001790344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884163,0.00005015919,0.1109539,0.0001135427,0.00006668112,0.00002345267,0.000002712294,0.000002663441,0.0003706047],"genre_scores_gemma":[0.9992046,8.777289e-8,0.0005484582,0.000008882237,0.0002239596,3.105459e-7,0.000001133991,0.000008888013,0.000003618219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1107883,"threshold_uncertainty_score":0.2138465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005477478060010981,"score_gpt":0.2002961553989369,"score_spread":0.1948186773389259,"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."}}