{"id":"W2604830664","doi":"10.1002/cjce.22854","title":"Solid distribution and mixing time in stirred tanks: The case of floating particles","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homogenization (climate); Materials science; Mixing (physics); Conductivity; Mechanics; Planar laser-induced fluorescence; Planar; Analytical Chemistry (journal); Laser; Laser-induced fluorescence; Chromatography; Chemistry; Optics; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970496,0.0003047963,0.0004029188,0.0003655248,0.0002841574,0.0007756548,0.0004425936,0.0005659763,0.0006322601],"category_scores_gemma":[0.001163841,0.0001368355,0.0003051653,0.0003053478,0.0005627909,0.0007044801,0.0004416607,0.000425678,0.0001106637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006063175,"about_ca_system_score_gemma":0.0003705356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003415885,"about_ca_topic_score_gemma":0.001069768,"domain_scores_codex":[0.9997754,0.00002116484,0.00001071559,0.00007029549,0.0000774124,0.00004502916],"domain_scores_gemma":[0.9995369,0.0002314658,0.0001114812,0.00002948078,0.00005551091,0.00003509259],"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":[0.0005959625,0.00006479367,0.003319366,0.0001001386,0.00002799212,0.0007343643,0.0001328993,0.03791517,0.9493612,0.001457119,0.00008797202,0.006203046],"study_design_scores_gemma":[0.00006520044,0.0006730484,0.006748352,0.000009851683,0.00005854895,0.000301972,0.0001703486,0.4120518,0.5785669,0.0007056403,0.0005944927,0.00005383581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788718,0.000254683,0.01985483,0.00007813375,0.00001277173,0.00001259999,0.00008976413,0.00008818573,0.0007372064],"genre_scores_gemma":[0.9966512,0.00009165535,0.002689311,0.000007359823,0.000004455155,0.000006026462,0.00005760917,0.00001126019,0.0004811272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003415885,"threshold_uncertainty_score":0.006792009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005925113710451945,"score_gpt":0.1988463950400295,"score_spread":0.1929212813295775,"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."}}