{"id":"W4403275148","doi":"10.1063/5.0219528","title":"A simple guideline for designing droplet microfluidic chips to achieve an improved single (bio)particle encapsulation rate using a stratified flow-assisted particle ordering method","year":2024,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Encapsulation (networking); Microfluidics; Materials science; Cell encapsulation; Flow focusing; Particle size; Volumetric flow rate; Nanotechnology; Rheology; Chemical engineering; Self-healing hydrogels; Computer science; Mechanics; 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":[0.0009291401,0.001291065,0.0006408576,0.0006197058,0.0003280556,0.000579145,0.0006638821,0.0008468137,0.0006645093],"category_scores_gemma":[0.001044682,0.0005074039,0.0005259903,0.0002650794,0.0005196119,0.0006159636,0.0003970899,0.0007898739,0.0007319472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000409215,"about_ca_system_score_gemma":0.001082909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00051653,"about_ca_topic_score_gemma":0.001142931,"domain_scores_codex":[0.9995492,0.000064584,0.00008356643,0.00008411268,0.0001862313,0.00003231392],"domain_scores_gemma":[0.9996188,0.00008750649,0.00008998133,0.00006255381,0.0001085525,0.00003265827],"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":[0.00002849559,0.00005876151,0.0002548468,0.0002899794,0.00001085947,0.00007705881,0.00004064635,0.001558481,0.9831997,0.001826942,0.0003629321,0.01229121],"study_design_scores_gemma":[0.00003496967,0.000358156,0.0008582917,0.00003441859,0.00003490278,0.0002062053,0.00002010949,0.007879528,0.9794367,0.0005595287,0.0105318,0.00004540127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1455268,0.003561017,0.8412164,0.0007728203,0.0002678287,0.002046951,0.0006815346,0.001516235,0.004410431],"genre_scores_gemma":[0.172629,0.002246405,0.8211828,0.0002679572,0.00004551262,0.001502656,0.0004721602,0.00008751019,0.00156611],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001291065,"threshold_uncertainty_score":0.004913867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05159826675619135,"score_gpt":0.3176100354348425,"score_spread":0.2660117686786512,"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."}}