{"id":"W2527702427","doi":"10.1016/j.cep.2016.09.016","title":"Reactions, hydrodynamics and mass transfer in micro-packed beds—Overview and new mass transfer data","year":2016,"lang":"en","type":"article","venue":"Chemical Engineering and Processing - Process Intensification","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"Mass transfer; Packed bed; Diffusion; Mechanics; Volume (thermodynamics); Capillary action; Scale (ratio); Kinetic energy; Flow (mathematics); Thermodynamics; Chemistry; Materials science; Chromatography; Physics; Classical mechanics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002190984,0.0002955459,0.0003176823,0.0001302565,0.00003941041,0.00007551711,0.0001763483,0.0002285655,0.000004374789],"category_scores_gemma":[0.000107341,0.0002529107,0.00001880682,0.0002308541,0.00008643258,0.0005159515,0.00001291374,0.0002944886,0.000001307885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004938749,"about_ca_system_score_gemma":0.00004301058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008907272,"about_ca_topic_score_gemma":0.00000325649,"domain_scores_codex":[0.9986074,0.000008718109,0.0004106338,0.0004940791,0.0001429806,0.0003361809],"domain_scores_gemma":[0.9993613,0.00008743054,0.00001062848,0.0002590148,0.00006501369,0.0002166374],"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":[0.00002612577,0.00001450609,0.0002146905,0.002337407,0.00002481819,0.000003002816,0.0008271447,0.0001267358,0.9280135,0.000136752,0.00002669756,0.06824859],"study_design_scores_gemma":[0.003466558,0.00006166128,0.001294086,0.004737004,0.0002613837,0.0002022773,0.0004221884,0.5378221,0.4387857,0.002217347,0.008773753,0.00195595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7772488,0.01167392,0.2091164,0.0009450117,0.0001639429,0.0002770044,0.00004463814,0.0004506875,0.0000796286],"genre_scores_gemma":[0.9925581,0.004717599,0.002413277,0.00003618663,0.000089205,0.00002871327,0.00005869268,0.00006820518,0.00003007024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5376953,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436522663039358,"score_gpt":0.2501864622185265,"score_spread":0.2158212355881329,"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."}}