{"id":"W2023414391","doi":"10.1016/j.cej.2006.07.013","title":"A new liquid distribution factor and local mass transfer coefficient in a random packed bed","year":2006,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reynolds number; Sherwood number; Mass transfer; Mass transfer coefficient; Packed bed; Inlet; Mechanics; Distributor; Chemistry; Materials science; Analytical Chemistry (journal); Chromatography; Thermodynamics; Turbulence; Physics; Nusselt number","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001085734,0.0002060707,0.0002693711,0.00007364331,0.00001962115,0.00004445886,0.00008794522,0.0001529267,0.00003672523],"category_scores_gemma":[0.0000224585,0.0001968754,0.00007653575,0.0001546764,0.00002496445,0.00008610846,0.000005407078,0.0005216353,0.00000298821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646276,"about_ca_system_score_gemma":0.00003508819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009943672,"about_ca_topic_score_gemma":0.000001979348,"domain_scores_codex":[0.9989097,0.000007880947,0.0003556831,0.0001301846,0.0001886298,0.0004079115],"domain_scores_gemma":[0.9995742,0.00006222681,0.000005618934,0.00007250825,0.00001848576,0.0002669367],"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":[0.0001883096,0.00004274384,0.00008297531,0.0001457608,0.00003927142,0.000103732,0.0003167551,0.09467774,0.8986119,0.0003282583,0.0007836275,0.004678916],"study_design_scores_gemma":[0.009433629,0.0001064553,0.0008208046,0.0003425865,0.00005462904,0.0003561248,0.00003409331,0.1791701,0.8016016,0.0001392436,0.007110129,0.0008305812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4186233,0.0004480458,0.5804639,0.00004201051,0.0002133658,0.00006565334,0.00001227065,0.00009833747,0.00003303981],"genre_scores_gemma":[0.9983644,0.00007057858,0.001179999,0.000006254068,0.0003020882,0.000006225557,0.00002722176,0.00003536533,0.000007799933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5797411,"threshold_uncertainty_score":0.8028346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00406440436470258,"score_gpt":0.1762479274355807,"score_spread":0.1721835230708781,"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."}}