{"id":"W3004034720","doi":"10.1007/s42452-020-2098-4","title":"Numerical simulation of a tuneable reversible flow design for practical ACET devices","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; CMC Microsystems","keywords":"Microfluidics; Usability; Flow (mathematics); Computer science; Design flow; Fluid dynamics; Fabrication; Electronic engineering; Mechanical engineering; Materials science; Nanotechnology; Embedded system; Mechanics; Engineering; 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":[0.0002979025,0.0003293363,0.000380556,0.0003176593,0.0003833424,0.0005616506,0.0004965526,0.001065428,0.003536879],"category_scores_gemma":[0.0009199707,0.0002137294,0.0003950188,0.0002670967,0.0004901568,0.0002490834,0.0002762912,0.000423228,0.0002268123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007354449,"about_ca_system_score_gemma":0.0008542544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006607657,"about_ca_topic_score_gemma":0.004643814,"domain_scores_codex":[0.9999009,0.00001804728,0.000005177539,0.00001546562,0.00003579145,0.00002461898],"domain_scores_gemma":[0.9995994,0.000253853,0.00003958522,0.0000239015,0.00006629126,0.00001705985],"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":[0.00004209908,0.0000424849,0.0005863411,0.0000731609,0.00000889287,0.00007603925,0.00004730669,0.9861162,0.00756992,0.003001159,0.0003358385,0.002100556],"study_design_scores_gemma":[0.000008940713,0.00001549954,0.00008348907,0.000003793622,0.000001881069,0.000004516618,0.000009332029,0.9982601,0.001076877,0.0001516405,0.000380404,0.000003596336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7659628,0.0005208772,0.1757592,0.001107612,0.0002221643,0.0002831194,0.001264347,0.0007393784,0.0541405],"genre_scores_gemma":[0.9655493,0.0001202775,0.02978027,0.00006089787,0.000007404594,0.0002292758,0.000201433,0.00003582881,0.004015415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006607657,"threshold_uncertainty_score":0.01313835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09027080234297875,"score_gpt":0.2900985703362812,"score_spread":0.1998277679933025,"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."}}