{"id":"W2007208305","doi":"10.1103/physreve.75.066314","title":"Strategy for active mixing in microdevices","year":2007,"lang":"en","type":"article","venue":"Physical Review E","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mixing (physics); Chaotic mixing; Microfluidics; Chaotic; Advection; Folding (DSP implementation); Flow (mathematics); Mechanics; Materials science; Computer science; Physics; Thermodynamics; Nanotechnology; Mechanical engineering; Engineering; Artificial intelligence","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":[0.0003414851,0.0005629172,0.0002847022,0.000337768,0.0004163192,0.0007941104,0.0009904399,0.0006386449,0.001717262],"category_scores_gemma":[0.0003632383,0.0003054357,0.0003545469,0.0001555406,0.0005249367,0.0009257041,0.0007679987,0.001097969,0.001068396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602676,"about_ca_system_score_gemma":0.0001905635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000473069,"about_ca_topic_score_gemma":0.00007724895,"domain_scores_codex":[0.9997885,0.00002950975,0.00001905634,0.00004968748,0.00008672447,0.00002656596],"domain_scores_gemma":[0.9998916,0.00003076335,0.00001978374,0.00002383782,0.0000175291,0.00001645899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007901575,0.0001094322,0.0001178686,0.0002899735,0.00001778111,0.0002166338,0.0001373721,0.0006933411,0.8540204,0.1203073,0.0006318081,0.02337918],"study_design_scores_gemma":[0.00003624516,0.0001646705,0.00007104971,0.00002030286,0.00001307002,0.0002455393,0.00001628766,0.00346197,0.9661785,0.007263829,0.02251138,0.0000171342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2424905,0.006159043,0.6899266,0.001646224,0.001512113,0.0006363357,0.0001953352,0.001097167,0.05633675],"genre_scores_gemma":[0.7838854,0.00336018,0.1953582,0.000784796,0.0001773572,0.0005948793,0.000176293,0.0001484207,0.01551441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001717262,"threshold_uncertainty_score":0.005744815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631942855944295,"score_gpt":0.2972767151824756,"score_spread":0.2809572866230326,"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."}}