{"id":"W2006320530","doi":"10.1039/b904984c","title":"Inkjet formation of unilamellar lipid vesicles for cell-like encapsulation","year":2009,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sandia National Laboratories; National Eye Institute; Natural Sciences and Engineering Research Council of Canada; National Nuclear Security Administration; National Institutes of Health; University of California, San Francisco; University of California Berkeley","keywords":"Vesicle; Microfluidics; Lipid bilayer; Nanotechnology; Encapsulation (networking); Cytoskeleton; Chemistry; Artificial cell; Lipid vesicle; Biophysics; Cell encapsulation; Actin; Materials science; Membrane; Cell; Computer science; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003090644,0.0002239517,0.0002875419,0.0002653054,0.0002059051,0.0004418418,0.0003614696,0.0004814794,0.0006104372],"category_scores_gemma":[0.0004435388,0.0002166073,0.0002425987,0.0001724908,0.0002681971,0.0003911908,0.0004195181,0.0005698761,0.0003439311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002993297,"about_ca_system_score_gemma":0.0002290376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001471742,"about_ca_topic_score_gemma":0.0002569511,"domain_scores_codex":[0.9997543,0.00002725487,0.00002674505,0.00004128724,0.0001085041,0.00004200915],"domain_scores_gemma":[0.9997937,0.00007284127,0.00004907824,0.00003525244,0.00002700301,0.00002206997],"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":[0.00001428768,0.00001409068,0.00005587056,0.00002746218,0.000002409467,0.00005672907,0.00002616878,0.0002620033,0.9953834,0.0006246045,0.00008397777,0.003449004],"study_design_scores_gemma":[0.000005359502,0.00001561369,0.0000872406,0.000001355428,0.000001847285,0.00004359969,0.000002339726,0.001613443,0.9967239,0.00006285275,0.00143916,0.000003214179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7694196,0.002807028,0.2187697,0.0004413462,0.000472062,0.0002254154,0.0004087227,0.001443307,0.006012867],"genre_scores_gemma":[0.9147342,0.0009932151,0.07836012,0.00009119658,0.00003113342,0.0001114805,0.000226174,0.000137591,0.005314851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006104372,"threshold_uncertainty_score":0.002171814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009633973456783417,"score_gpt":0.240781487847454,"score_spread":0.2311475143906705,"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."}}