{"id":"W1992988956","doi":"10.1016/j.ces.2005.09.019","title":"Magnetoviscous control of wall channeling in packed beds using magnetic nanoparticles—Volume-average ferrohydrodynamic model and numerical simulations","year":2005,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Volume (thermodynamics); Materials science; Control volume; Mechanics; Nanoparticle; Physics; Thermodynamics; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809289,0.0002734441,0.0006949767,0.0002827338,0.0005272105,0.0008087573,0.0006596278,0.0007073467,0.0008211985],"category_scores_gemma":[0.0007934761,0.0003913582,0.000292169,0.0001830209,0.0009072726,0.0005525197,0.0004100543,0.0003966506,0.00009659892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009035958,"about_ca_system_score_gemma":0.0005975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004325308,"about_ca_topic_score_gemma":0.003398482,"domain_scores_codex":[0.9999012,0.00002473291,0.000004019886,0.00001686189,0.00002633776,0.00002685265],"domain_scores_gemma":[0.9996425,0.0001793716,0.00004168274,0.00002715194,0.00005205302,0.00005723244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001982619,0.0001501484,0.0005765389,0.0000636099,0.0000229365,0.0001111799,0.00004926096,0.9351425,0.05031882,0.009525089,0.0004379613,0.0034037],"study_design_scores_gemma":[0.00001072109,0.000008480036,0.00006635917,8.543167e-7,0.000001352889,0.000002190342,0.000003203885,0.9975555,0.002056551,0.0002481302,0.00004325835,0.000003394679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225512,0.0004802887,0.06739894,0.0005918152,0.0001589852,0.00004356368,0.00006504473,0.0002259361,0.008484184],"genre_scores_gemma":[0.9958449,0.00006596824,0.002951368,0.00003204358,0.00001474237,0.00001487371,0.00001593725,0.00001484735,0.001045435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004325308,"threshold_uncertainty_score":0.008600235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007000477472785678,"score_gpt":0.2085903058251632,"score_spread":0.2015898283523776,"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."}}