{"id":"W2020734955","doi":"10.1007/s10973-010-0721-0","title":"A new dimensionless group model for determining the viscosity of nanofluids","year":2010,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanofluid; Viscosity; Dimensionless quantity; Thermodynamics; Relative viscosity; Materials science; Volume fraction; Temperature dependence of liquid viscosity; Pulmonary surfactant; Reduced viscosity; Inherent viscosity; Particle (ecology); Particle size; Nanoparticle; Intrinsic viscosity; Composite material; Chemistry; Nanotechnology; Polymer; Physics; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008674977,0.001417433,0.001138202,0.001598617,0.0006402947,0.0010279,0.00196132,0.002087796,0.002108146],"category_scores_gemma":[0.002507749,0.0005385944,0.001172091,0.0008828036,0.0008924676,0.002589311,0.0009618202,0.001529311,0.001071195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008117027,"about_ca_system_score_gemma":0.0007483074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009472169,"about_ca_topic_score_gemma":0.0008554558,"domain_scores_codex":[0.9995166,0.0001829879,0.00002281988,0.00006685319,0.0001706492,0.00004009247],"domain_scores_gemma":[0.9994641,0.0002084681,0.00004648,0.00007912731,0.0001560443,0.00004579411],"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":[0.0001096682,0.0001659382,0.0007301567,0.0002658492,0.00006217818,0.0003951085,0.0003031888,0.5520242,0.05918417,0.3369201,0.00403685,0.04580257],"study_design_scores_gemma":[0.00001339209,0.00003277596,0.00005974712,0.00001125103,0.000008697372,0.00003603922,0.000009244417,0.9749132,0.002353194,0.01912647,0.003417704,0.00001822899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00651755,0.0003460263,0.9894062,0.0001405334,0.000221351,0.00005999894,0.00003942678,0.0002291666,0.003039829],"genre_scores_gemma":[0.3948157,0.001760551,0.5799311,0.0004904307,0.0007282366,0.0008041043,0.0003534489,0.001058321,0.02005818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002108146,"threshold_uncertainty_score":0.007052481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007665353962482456,"score_gpt":0.2168472980126269,"score_spread":0.2091819440501445,"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."}}