{"id":"W1974197963","doi":"10.1615/jpormedia.v7.i2.10","title":"Compositional Variation Considering Diffusion and Convection for a Binary Mixture in a Porous Medium","year":2004,"lang":"en","type":"article","venue":"Journal of Porous Media","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Porous medium; Binary number; Materials science; Diffusion; Variation (astronomy); Convection; Thermodynamics; Porosity; Mechanics; Mathematics; Physics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002643309,0.00009362899,0.0001705245,0.0002810851,0.00003586772,0.00001930989,0.00004424749,0.0001272677,0.0000167094],"category_scores_gemma":[0.0001417701,0.00009292797,0.00003427311,0.00009534566,0.00001874103,0.000279995,0.000008727691,0.0002401381,6.675754e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983733,"about_ca_system_score_gemma":0.00005557084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000175513,"about_ca_topic_score_gemma":0.00004687607,"domain_scores_codex":[0.9992419,0.00001576926,0.00036677,0.00007176702,0.0001985575,0.0001051776],"domain_scores_gemma":[0.9994507,0.0001832687,0.0001378299,0.00004518343,0.0001269428,0.00005602343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004114812,0.0004120069,0.002744241,0.0003901987,0.0001574455,0.0003131591,0.0092119,0.02761553,0.941229,0.003218575,0.004247253,0.01004914],"study_design_scores_gemma":[0.02588456,0.002587224,0.5233588,0.002370265,0.0003325982,0.01068515,0.002143271,0.03452954,0.2528535,0.1374752,0.005936228,0.001843648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264197,0.0004475809,0.07034083,0.0013187,0.001108832,0.0001906641,0.000008196988,0.00008321606,0.00008229732],"genre_scores_gemma":[0.9805495,0.0001975892,0.01881623,0.00008746169,0.0003068422,0.00001042147,0.00001166983,0.00001691962,0.000003426367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6883756,"threshold_uncertainty_score":0.3789493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007703706746717521,"score_gpt":0.2220363590762639,"score_spread":0.2143326523295464,"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."}}