{"id":"W1998664418","doi":"10.1073/pnas.1016410108","title":"Forming giant vesicles with controlled membrane composition, asymmetry, and contents","year":2011,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Nuclear Security Administration; National Institutes of Health; National Institute of General Medical Sciences; Österreichischen Akademie der Wissenschaften; Sandia National Laboratories; Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley; U.S. Department of Energy","keywords":"Exocytosis; Vesicle; Membrane; Endocytosis; Biophysics; Biological membrane; Confocal microscopy; Membrane biophysics; Biology; Chemistry; Cell biology; Biochemistry; Cell","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":[0.0005152671,0.000381693,0.0003442611,0.0003084368,0.0002711339,0.0005702162,0.0003352386,0.0005494284,0.0004316858],"category_scores_gemma":[0.0004608429,0.0002986473,0.0003152658,0.0001742972,0.0004678696,0.000568192,0.0008849532,0.0004792066,0.0002775966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004540449,"about_ca_system_score_gemma":0.0003822779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002242696,"about_ca_topic_score_gemma":0.0006107285,"domain_scores_codex":[0.9997879,0.00003668681,0.0000271043,0.00004498933,0.00006925828,0.00003418361],"domain_scores_gemma":[0.9997644,0.00004529427,0.00007768637,0.00004144783,0.00003014048,0.00004097374],"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":[0.00001621024,0.000006133772,0.0000590703,0.00002257519,0.00000359977,0.00002116058,0.00001484941,0.0001311561,0.9982343,0.0005530692,0.00002069481,0.0009172659],"study_design_scores_gemma":[0.00001593941,0.00003729669,0.0001559495,0.000003824699,0.000008500167,0.00009236339,0.000008046184,0.001116542,0.9968891,0.0001007401,0.001565524,0.00000609649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445729,0.0007545631,0.05166527,0.0002584901,0.00007391113,0.000220951,0.0003273412,0.0003295386,0.00179716],"genre_scores_gemma":[0.9389902,0.0007074269,0.05763061,0.00008105755,0.00001547099,0.0002254684,0.0003722474,0.0001478094,0.001829754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005702162,"threshold_uncertainty_score":0.003294289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945304331971551,"score_gpt":0.2660847187220436,"score_spread":0.2366316754023281,"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."}}