{"id":"W2001141583","doi":"10.1007/s10404-014-1454-3","title":"Serpentine and leading-edge capillary pumps for microfluidic capillary systems","year":2014,"lang":"en","type":"article","venue":"Microfluidics and Nanofluidics","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capillary action; Microfluidics; Volumetric flow rate; Row; Materials science; Capillary number; Flow (mathematics); Mechanics; Fabrication; Enhanced Data Rates for GSM Evolution; Nanotechnology; Computer science; Physics; Composite material","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":[0.0004842731,0.0004968814,0.0002697303,0.0003562554,0.0004036439,0.001022357,0.0006044435,0.0007563323,0.001430501],"category_scores_gemma":[0.0004828479,0.0003330974,0.000250317,0.0002458308,0.0005273977,0.00130002,0.0004936208,0.0008135689,0.0007351282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004170998,"about_ca_system_score_gemma":0.000632761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003767248,"about_ca_topic_score_gemma":0.0005009744,"domain_scores_codex":[0.9996314,0.00006817282,0.00002126041,0.00009010647,0.0001305977,0.00005847246],"domain_scores_gemma":[0.9998331,0.00003866558,0.00004608546,0.00001974886,0.00003930516,0.00002294434],"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":[0.0009514156,0.00008545438,0.0004344092,0.000428623,0.0000157836,0.0005805032,0.0002038953,0.002168831,0.8383369,0.04922651,0.003948875,0.1036188],"study_design_scores_gemma":[0.0000254653,0.0004140877,0.0004497568,0.00003134493,0.00001595672,0.0006710304,0.00001996864,0.008823881,0.9399766,0.001278574,0.04825762,0.00003582853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4652865,0.05341591,0.4138561,0.002380974,0.002016279,0.0003251151,0.0005450527,0.003196595,0.05897751],"genre_scores_gemma":[0.8264884,0.01298113,0.1153015,0.0005660546,0.0002511259,0.0001250291,0.0002348387,0.0001914345,0.04386042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001430501,"threshold_uncertainty_score":0.004785538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006589220617260837,"score_gpt":0.1944565127581587,"score_spread":0.1878672921408979,"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."}}