{"id":"W3094626027","doi":"10.1007/s10404-020-02396-6","title":"A Quantitative study of the dynamic response of soft tubing for pressure-driven flow in a microfluidics context","year":2020,"lang":"en","type":"article","venue":"Microfluidics and Nanofluidics","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Syringe driver; Context (archaeology); Flow control (data); Volumetric flow rate; Chip; Flow (mathematics); Materials science; Pressure control; Mechanics; Mechanical engineering; Nanotechnology; Computer science; Engineering; Electrical engineering; Syringe; Physics","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":[0.0002387333,0.0002824191,0.0001708694,0.0002474793,0.0001751946,0.0003754441,0.0003082043,0.0003605816,0.002336754],"category_scores_gemma":[0.0009303303,0.0001007432,0.0001838614,0.0002668277,0.0004592429,0.0004503645,0.000202551,0.0003569308,0.0002623283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429384,"about_ca_system_score_gemma":0.0002080493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003790142,"about_ca_topic_score_gemma":0.0002423777,"domain_scores_codex":[0.999841,0.00002057468,0.00000477248,0.00004065695,0.00006341329,0.0000295943],"domain_scores_gemma":[0.9996093,0.0002473519,0.00004375197,0.00003463632,0.00004094746,0.00002405889],"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":[0.00004423405,0.00001728925,0.0001200566,0.00005414668,0.000003640563,0.00002364082,0.00002300523,0.001868529,0.9937925,0.0006970265,0.00004339818,0.003312586],"study_design_scores_gemma":[0.000007028615,0.0001731869,0.003289604,0.000009577476,0.000008933628,0.00005421271,0.00004446405,0.05214028,0.9422822,0.0002974341,0.001678559,0.00001433755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600786,0.001493755,0.03218973,0.0001461101,0.00004428742,0.00005605377,0.0002870787,0.0001609825,0.005543445],"genre_scores_gemma":[0.992467,0.000451441,0.005467951,0.00003585581,0.0000166628,0.00003357797,0.00009430439,0.00002268548,0.001410478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002336754,"threshold_uncertainty_score":0.007817149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131445506630686,"score_gpt":0.2284558112761674,"score_spread":0.2153112606130988,"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."}}