{"id":"W2000315173","doi":"10.1016/j.ijthermalsci.2007.01.019","title":"Simulation of Ludwig–Soret effect of a water–ethanol mixture in a cavity filled with aluminum oxide powder under high pressure","year":2007,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Thermophoresis; Convection; Mole fraction; Thermodynamics; Oxide; Permeability (electromagnetism); Porous medium; Rayleigh number; Natural convection; Porosity; Bar (unit); Mass fraction; Analytical Chemistry (journal); Thermal; Chromatography; Chemistry; Composite material; Nanofluid","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":[0.0001971892,0.0003609331,0.0006742702,0.0003322075,0.0008680745,0.000528256,0.000814591,0.001331544,0.004870749],"category_scores_gemma":[0.0005913281,0.0002987723,0.0005406523,0.0002934056,0.0007906393,0.0005531234,0.000486895,0.0007055848,0.0001772227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006799381,"about_ca_system_score_gemma":0.0007798151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095277,"about_ca_topic_score_gemma":0.003578634,"domain_scores_codex":[0.9999098,0.00001178918,0.000002942445,0.00001403786,0.00001998932,0.00004135908],"domain_scores_gemma":[0.9996639,0.0001908389,0.00002768236,0.00002092318,0.00003289588,0.00006373391],"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":[0.0005888149,0.000241681,0.002252933,0.0001505285,0.00005694602,0.0007555077,0.0001713572,0.9573334,0.02857983,0.006676816,0.0007100374,0.002482199],"study_design_scores_gemma":[0.00009436472,0.0001197956,0.0009359671,0.000006437032,0.00001345719,0.00002581272,0.00004660028,0.9923776,0.00577636,0.0003296326,0.0002611404,0.00001279133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850451,0.0001313173,0.003738201,0.0002917501,0.00005715538,0.00003305729,0.0002227973,0.000118863,0.01036165],"genre_scores_gemma":[0.9975712,0.00004583409,0.0009293508,0.00002730637,0.000006837638,0.00001772666,0.00007406336,0.00001853572,0.001309231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01095277,"threshold_uncertainty_score":0.02177805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006441961405813322,"score_gpt":0.2632820639421796,"score_spread":0.2568401025363662,"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."}}