{"id":"W2107070838","doi":"10.1002/cjce.20563","title":"Quantitative characterisation of mixing in stirred tank reactors with mean age distribution","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Impeller; Continuous stirred-tank reactor; Mixing (physics); Computational fluid dynamics; Scalar (mathematics); Mechanics; TRACER; Materials science; Mathematics; Fraction (chemistry); Engineering; Chemistry; Chromatography; Physics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001919433,0.00009541037,0.0001668789,0.000112254,0.00001338055,0.00001280039,0.0001288069,0.00004774391,0.000006487114],"category_scores_gemma":[0.00006136671,0.00007539188,0.00003703191,0.0001764369,0.00003294644,0.0001183342,0.000003985174,0.0002468903,3.58636e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223146,"about_ca_system_score_gemma":0.0000631169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008844201,"about_ca_topic_score_gemma":0.001195857,"domain_scores_codex":[0.9994011,0.000006860048,0.000273224,0.00004603181,0.00009101084,0.0001817518],"domain_scores_gemma":[0.9996398,0.00003746729,0.00006572038,0.00007726521,0.00005218027,0.0001275338],"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":[0.00006431163,0.00001494336,0.001654575,0.0001394859,0.0001467479,0.000180243,0.008385619,0.05446611,0.9289705,0.005099342,0.000038888,0.0008392005],"study_design_scores_gemma":[0.001525381,0.0002745977,0.03594592,0.001732256,0.0001241971,0.0002490909,0.0004620338,0.4686358,0.4894105,0.000484765,0.0003305589,0.0008249029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944124,0.0001042554,0.005200684,0.00002233095,0.0001163595,0.00004553031,0.00001216217,0.000009708448,0.00007662006],"genre_scores_gemma":[0.9989387,0.000003334843,0.0009991993,0.000002564492,0.00002637135,0.000001126651,0.000008598108,0.00001860937,0.000001505777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4395601,"threshold_uncertainty_score":0.3074391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311556056805944,"score_gpt":0.1726088101903569,"score_spread":0.1594932496222974,"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."}}