{"id":"W2087290988","doi":"10.1115/1.2960492","title":"Soret Effect for a Ternary Mixture in Porous Cavity: Modeling With Variable Diffusion Coefficients and Viscosity","year":2008,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Space Agency","keywords":"Buoyancy; Viscosity; Thermodynamics; Diffusion; Materials science; Thermophoresis; Ternary operation; Dodecane; Porous medium; Molecular diffusion; Natural convection; Porosity; Convection; Thermal; Chemistry; Composite material; Nanofluid; 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":[0.0003986997,0.000401598,0.0006744341,0.0004915182,0.0004092515,0.0006565514,0.0007675912,0.00172523,0.0009766751],"category_scores_gemma":[0.001016595,0.0003824908,0.0007558452,0.0003384352,0.0007404996,0.0009819266,0.0004328949,0.0004264464,0.0001430555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008067621,"about_ca_system_score_gemma":0.0008149236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007700222,"about_ca_topic_score_gemma":0.002540031,"domain_scores_codex":[0.9999018,0.00002194939,0.000004047717,0.00001847918,0.00002190407,0.00003177494],"domain_scores_gemma":[0.9995964,0.0002461579,0.00005520858,0.0000171348,0.00005137973,0.00003375267],"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":[0.0001425915,0.00006575208,0.001154801,0.0000891614,0.00001488061,0.0002321893,0.0000658275,0.9648071,0.02591418,0.005545535,0.000129634,0.001838319],"study_design_scores_gemma":[0.00001475603,0.00001847743,0.000134527,0.000002886715,0.000004311131,0.00001948203,0.000006639638,0.9975073,0.002009434,0.000175626,0.0001011269,0.000005598697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261691,0.0007430222,0.06600859,0.000345846,0.00004389991,0.00005835122,0.0001877264,0.0001623675,0.006281076],"genre_scores_gemma":[0.9926373,0.0003145003,0.004737398,0.00002348221,0.00001017978,0.00004535916,0.00003698568,0.00002159607,0.002173329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007700222,"threshold_uncertainty_score":0.01531082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00483930265251757,"score_gpt":0.1926590659065692,"score_spread":0.1878197632540516,"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."}}