{"id":"W1997063309","doi":"10.1115/imece2004-59307","title":"Microfluidic Mixing Through Sequential Sample Injection With Rapid Expansion","year":2004,"lang":"en","type":"article","venue":"Fluids Engineering","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Micromixer; Micromixing; Microchannel; Injector; Mixing (physics); Microfluidics; Chip; Mechanics; Materials science; Computer science; Physics; Engineering; Nanotechnology; Mechanical engineering; 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":[0.0006409684,0.0006034773,0.0003731548,0.0003095997,0.0002458156,0.0005006942,0.0006498298,0.0004227691,0.0006244965],"category_scores_gemma":[0.0004872383,0.0003968569,0.0002700826,0.0002688945,0.000522671,0.0005844594,0.0007165273,0.0006027699,0.0002754432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004308913,"about_ca_system_score_gemma":0.0005212275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003942455,"about_ca_topic_score_gemma":0.0005161667,"domain_scores_codex":[0.9994899,0.00006286664,0.00003369646,0.0001299353,0.0002302915,0.00005328929],"domain_scores_gemma":[0.9997433,0.00009569777,0.00008551917,0.00003060581,0.00002572862,0.0000190709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006953251,0.00002594711,0.0001068298,0.0000732904,0.000006157229,0.00003368336,0.00002821821,0.0008428774,0.9849126,0.001189207,0.00008586611,0.01262578],"study_design_scores_gemma":[0.0000192945,0.0001723646,0.0002008576,0.00000346196,0.000007848826,0.000116565,0.000002921703,0.006805073,0.9890848,0.0001658254,0.003406567,0.00001430477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4314455,0.003525645,0.5567775,0.0003044697,0.0002343133,0.0007429156,0.00019398,0.001751176,0.00502442],"genre_scores_gemma":[0.6170918,0.001753365,0.3760959,0.0001662329,0.00008593148,0.0003690502,0.0001827859,0.00007492246,0.00417997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006498298,"threshold_uncertainty_score":0.003389835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007564187019786028,"score_gpt":0.1924420321521914,"score_spread":0.1848778451324054,"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."}}