{"id":"W2042438459","doi":"10.1063/1.2966454","title":"Quantitative characterization of micromixing simulation","year":2008,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; University of Ottawa; Institute for Microstructural Sciences","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Micromixing; Mixing (physics); Microfluidics; Channel (broadcasting); Micromixer; Characterization (materials science); Groove (engineering); Materials science; Flow (mathematics); Mechanics; Biological system; Analytical Chemistry (journal); Nanotechnology; Chemistry; Computer science; Chromatography; Physics; Telecommunications","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":[0.0007106013,0.0004917523,0.0004805724,0.0004550397,0.0004427443,0.0005847742,0.0006390261,0.0008147644,0.002195715],"category_scores_gemma":[0.002319298,0.000221402,0.0003328844,0.0002939813,0.000525877,0.0006824622,0.0003398811,0.0004930442,0.0002121546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008245811,"about_ca_system_score_gemma":0.001051184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004128512,"about_ca_topic_score_gemma":0.001741155,"domain_scores_codex":[0.9996992,0.00005546119,0.00002034117,0.00005313069,0.0001229041,0.00004896436],"domain_scores_gemma":[0.9988331,0.0007223948,0.00009452828,0.0001234044,0.0001951004,0.0000313469],"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":[0.00006289002,0.00006336581,0.001255264,0.00006561948,0.00001660597,0.000057872,0.0001017347,0.9547453,0.03050166,0.006578145,0.0001787704,0.006372769],"study_design_scores_gemma":[0.000005518831,0.00001409269,0.0001439097,0.000002383589,0.000001863941,0.000005208011,0.000008223184,0.9921037,0.007059673,0.000393351,0.0002577592,0.000004363582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5484321,0.0001875417,0.4371517,0.0002447765,0.00005274253,0.000257448,0.0006964343,0.001356446,0.01162089],"genre_scores_gemma":[0.9169875,0.00008658445,0.08050234,0.00003823396,0.00000728118,0.0002966438,0.0002802194,0.0001412164,0.001659986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004128512,"threshold_uncertainty_score":0.00820899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960915973114974,"score_gpt":0.228210335741892,"score_spread":0.2086011760107423,"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."}}