{"id":"W1989034584","doi":"10.1115/imece2009-10110","title":"Measurement of Thermodiffusion Coefficient for Binary Hydrocarbon Fluid Mixtures in Porous Medium: Experimental and Numerical Results","year":2009,"lang":"en","type":"article","venue":"","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Materials science; Dodecane; Porosity; Diffusion; Thermodynamics; Binary number; Thermal; Thermal diffusivity; Refractive index; Chemistry; Composite material; Physics","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":[0.0003105569,0.0002363257,0.0002930636,0.000336061,0.0002633199,0.0002296919,0.0003334987,0.0004471613,0.0005783135],"category_scores_gemma":[0.0008195669,0.0001208169,0.0001878368,0.0005160482,0.0005098712,0.0003336018,0.0002370783,0.0002299785,0.00006297394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003723465,"about_ca_system_score_gemma":0.000225615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003184561,"about_ca_topic_score_gemma":0.001324344,"domain_scores_codex":[0.9998679,0.000009927478,0.000009648247,0.00002415942,0.00007031702,0.00001801975],"domain_scores_gemma":[0.9995158,0.0002721929,0.00006917515,0.00003148575,0.00009037469,0.00002103888],"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":[0.0003024637,0.0001586158,0.00542033,0.000312769,0.00001785783,0.0001624183,0.0001685503,0.1064059,0.8737873,0.002580348,0.0001267872,0.01055667],"study_design_scores_gemma":[0.00003402504,0.0001163091,0.003101162,0.00001063349,0.00001104625,0.0000714039,0.00004103432,0.4304425,0.5653985,0.0003166988,0.0004295411,0.00002706374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741314,0.0002693508,0.02359176,0.00005655718,0.000007570448,0.00001769098,0.0002694094,0.0001586349,0.001497723],"genre_scores_gemma":[0.9865218,0.0001239859,0.01300622,0.000003113966,0.000001996631,0.00001784956,0.00007207366,0.000007855831,0.0002450559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003184561,"threshold_uncertainty_score":0.00633204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326127884291648,"score_gpt":0.2446017627263808,"score_spread":0.2313404838834643,"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."}}