{"id":"W3207414332","doi":"10.1002/admi.202101371","title":"Scalable, Membrane‐Based Microfluidic Passive Cross‐Flow Platform for Monodispersed, Water‐in‐Water Microdroplet Production","year":2021,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Microfluidics; Membrane emulsification; Materials science; Dispersity; Volumetric flow rate; Polyethylene glycol; Syringe driver; Flow focusing; Nanotechnology; Microchannel; Aqueous solution; Hydrostatic equilibrium; Phase (matter); Membrane; Aqueous two-phase system; Chemical engineering; Emulsion; Mechanics; Chemistry; Syringe; Mechanical engineering; Polymer chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000335176,0.0003693473,0.0004323839,0.0001830555,0.0001122657,0.0001392715,0.0001888985,0.000180606,0.0004073092],"category_scores_gemma":[0.00005311535,0.0002945537,0.00005305058,0.0002087519,0.0001145471,0.0004959213,0.00005701904,0.0001385235,0.00005896595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587535,"about_ca_system_score_gemma":0.00003030225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006325914,"about_ca_topic_score_gemma":0.000001735568,"domain_scores_codex":[0.9979794,0.00002763522,0.0007413155,0.00051998,0.0001245073,0.0006071685],"domain_scores_gemma":[0.9991465,0.00002195453,0.00006338588,0.0003921983,0.000344409,0.000031602],"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":[0.0001616242,0.00004574569,0.00001010213,0.0005331184,0.00003569972,0.000009386275,0.0002805117,0.001246395,0.9945245,0.0001193279,0.001452847,0.001580686],"study_design_scores_gemma":[0.0009518188,0.00005131674,0.000008714819,0.0001753102,0.00001465787,0.00002448119,0.0001229607,0.0001328248,0.9775982,0.0005228475,0.01997459,0.0004222148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529198,0.0004315749,0.04271284,0.0001906828,0.002346606,0.00069991,0.0001545878,0.0003262037,0.0002177273],"genre_scores_gemma":[0.9904778,0.0001161308,0.007056064,0.0001523082,0.0001030691,0.0003573931,0.0009884251,0.00009758568,0.0006511997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03755796,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251552415871208,"score_gpt":0.252866435834939,"score_spread":0.2403509116762269,"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."}}