{"id":"W2896863009","doi":"10.1017/jfm.2018.740","title":"Thermophoretic effects on instabilities of nanoflows in porous media","year":2018,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Thermophoresis; Brownian motion; Diffusion; Porous medium; Mechanics; Isothermal process; Nanoparticle; Instability; Materials science; Fluid dynamics; Thermodynamics; Nanofluid; Nanotechnology; Porosity; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003781432,0.00009427376,0.0002111957,0.0002814375,0.00001163915,0.000006357567,0.0001400907,0.0001082226,0.00006738638],"category_scores_gemma":[0.0003047823,0.00008371156,0.00005801844,0.0001578094,0.00001393993,0.0001139512,0.00001175902,0.000210569,0.000005500539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142352,"about_ca_system_score_gemma":0.00003297389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000336826,"about_ca_topic_score_gemma":0.00001124012,"domain_scores_codex":[0.9991395,0.00003629324,0.0003954852,0.00005446158,0.0002642451,0.0001100504],"domain_scores_gemma":[0.9993263,0.0002418201,0.00009865026,0.0001320679,0.0001641898,0.00003699449],"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":[0.0001741265,0.0001476114,0.00007014823,0.0003119902,0.0000798754,0.00005207766,0.002964682,0.001779541,0.9307796,0.01652194,0.003844117,0.04327427],"study_design_scores_gemma":[0.000375387,0.000640802,0.0002086014,0.0002308267,0.00001138645,0.00003076789,0.0001166671,0.01178792,0.9763791,0.00944973,0.0006689958,0.00009982201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894455,0.0003959373,0.007321794,0.00008561667,0.001439816,0.0001102145,0.000002417009,0.00005473677,0.001143944],"genre_scores_gemma":[0.997498,0.0002404413,0.001984635,0.00005327862,0.0001910857,0.000002919816,3.652624e-7,0.00002046631,0.000008749771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04559947,"threshold_uncertainty_score":0.3413658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006413539043634759,"score_gpt":0.2087841045113166,"score_spread":0.2023705654676818,"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."}}