{"id":"W2082148039","doi":"10.1109/isie.2006.296014","title":"Modeling of micro impingement flows","year":2006,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Mixing (physics); Mechanics; Reynolds number; Inlet; Microfluidics; Diffusion; Materials science; Spiral (railway); Finite element method; Mechanical engineering; Thermodynamics; Physics; Turbulence; Engineering; 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":[0.0002595235,0.0006749684,0.0006646509,0.0004133439,0.0003920044,0.0009672015,0.001249268,0.001942006,0.002737895],"category_scores_gemma":[0.0007340781,0.0005218765,0.0007168459,0.0002593921,0.0008301297,0.000892474,0.0005752627,0.0006494769,0.0005421446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006390614,"about_ca_system_score_gemma":0.0008930196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00476273,"about_ca_topic_score_gemma":0.001672031,"domain_scores_codex":[0.9997303,0.00004572717,0.00001260806,0.00006120676,0.0001102702,0.00003987323],"domain_scores_gemma":[0.9997883,0.00008802072,0.00003561881,0.00002511654,0.00004528784,0.0000176119],"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":[0.00002184158,0.0000198193,0.0002786752,0.00002927084,0.000007493381,0.00007901853,0.00004925359,0.9820587,0.008385501,0.006619141,0.000117859,0.002333406],"study_design_scores_gemma":[0.000004036723,0.00001088391,0.00007693032,0.000002810199,0.000002321969,0.00001756634,0.000005699531,0.9976016,0.001137096,0.0004858781,0.0006509106,0.000004299434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1144097,0.0004361033,0.8630763,0.0003175538,0.0001260426,0.0001202595,0.0003264069,0.0005640994,0.02062358],"genre_scores_gemma":[0.8651019,0.0006798189,0.1087486,0.000120401,0.00004511739,0.0004214961,0.0003286183,0.0001636273,0.02439048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00476273,"threshold_uncertainty_score":0.009470046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005444262844738269,"score_gpt":0.1840281058700524,"score_spread":0.1785838430253141,"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."}}