{"id":"W2954840200","doi":"10.1017/jfm.2013.455","title":"A macrotransport equation for the particle distribution in the flow of a concentrated, non-colloidal suspension through a circular tube","year":2013,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mechanics; Suspension (topology); Dispersion (optics); Physics; RADIUS; Taylor dispersion; Materials science; Thermodynamics; Optics; Mathematics","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":[0.0006206966,0.00009587013,0.0002122631,0.00001063425,0.000075819,0.0000113198,0.0001855989,0.00008576299,0.00002178763],"category_scores_gemma":[0.0001780129,0.00005608478,0.0001350827,0.0001680584,0.00002986147,0.0001514688,0.00001427392,0.0001978514,0.000002321311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005569441,"about_ca_system_score_gemma":0.00003640069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002602968,"about_ca_topic_score_gemma":0.000005194535,"domain_scores_codex":[0.9990136,0.00003272489,0.0004744049,0.00007921896,0.0002012473,0.0001987835],"domain_scores_gemma":[0.9991505,0.0002741399,0.000150649,0.0001347264,0.0002667925,0.00002317106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002301605,0.0001741676,0.0003088352,0.00006087624,0.0001890698,0.00001354978,0.003811238,0.04039887,0.8816912,0.07212876,0.0004163512,0.0005769408],"study_design_scores_gemma":[0.0009665794,0.0001409019,0.0005645221,0.00004684674,0.00008611084,0.00003283872,0.0009823528,0.9575746,0.03650255,0.003006527,0.00003173504,0.00006444538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3485906,0.0005440364,0.6497387,0.000638061,0.000169366,0.000300401,0.000009605217,0.000003415885,0.000005812263],"genre_scores_gemma":[0.9986154,0.0002414464,0.0009259502,0.00008540637,0.00006182295,0.00003622605,0.000008443231,0.000007883126,0.00001743411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9171757,"threshold_uncertainty_score":0.2287071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729170405696666,"score_gpt":0.2353275817574942,"score_spread":0.2180358777005276,"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."}}