{"id":"W1993805976","doi":"10.1016/j.ces.2011.09.007","title":"Finite element analysis of oxygen transport in microfluidic cell culture devices with varying channel architectures, perfusion rates, and materials","year":2011,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oxygen transport; Limiting oxygen concentration; Diffusion; Microfluidics; Oxygen; Materials science; Volumetric flow rate; Finite element method; Thermal diffusivity; Mechanics; Boundary layer; Flow (mathematics); Flux (metallurgy); Chemistry; Thermodynamics; Nanotechnology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004445591,0.0003958709,0.0006422523,0.0005896386,0.0005619919,0.0008482311,0.0008475443,0.00206883,0.001791299],"category_scores_gemma":[0.001311643,0.0005150776,0.0006912925,0.0003100918,0.0009947546,0.0004448818,0.0003997674,0.0005809786,0.0002463622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009159807,"about_ca_system_score_gemma":0.001001316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008123457,"about_ca_topic_score_gemma":0.005494025,"domain_scores_codex":[0.9998032,0.00003908682,0.000009433894,0.00003259478,0.0000822749,0.00003346533],"domain_scores_gemma":[0.999278,0.0005275671,0.0000566598,0.0000327642,0.0000787973,0.00002625684],"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":[0.00007081318,0.00008198335,0.0008150582,0.00006127377,0.00001986288,0.00004694932,0.00009815211,0.9753423,0.01808914,0.001674413,0.0001875049,0.003512491],"study_design_scores_gemma":[0.000006786754,0.00001549306,0.0001388907,0.000003927576,0.000003350858,0.00000766527,0.0000184614,0.9974357,0.002056933,0.0001728482,0.0001345836,0.000005384516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7862304,0.0004350757,0.19791,0.000836609,0.0001102492,0.0001125874,0.0003750855,0.0003366169,0.01365348],"genre_scores_gemma":[0.9643044,0.0001571104,0.02945952,0.0001080558,0.00001423738,0.0001672296,0.0002118321,0.00007000758,0.005507587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008123457,"threshold_uncertainty_score":0.01615232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006457174392499035,"score_gpt":0.1856557132693398,"score_spread":0.1791985388768407,"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."}}