{"id":"W4321479967","doi":"10.1101/2023.02.22.529503","title":"Capturing and Detecting of Extracellular Vesicles Derived from Single <i>Escherichia coli</i> Mother Cells","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eidgenössische Technische Hochschule Zürich; McGill University; Universität Basel; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Secretion; Escherichia coli; Bacteria; Cell biology; Motility; Extracellular; Biophysics; Cell; Intracellular; Staining; Chemistry; Biology; Microbiology; Biochemistry; Genetics","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":[0.0001705489,0.0002861199,0.0002267401,0.0001778599,0.0001383104,0.0003385982,0.0002362164,0.0003881281,0.0004326288],"category_scores_gemma":[0.0001775571,0.0001452173,0.0002095943,0.00008974983,0.0001572187,0.0002343895,0.000320506,0.0002442156,0.000287232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042849,"about_ca_system_score_gemma":0.0001303772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001896118,"about_ca_topic_score_gemma":0.0001877956,"domain_scores_codex":[0.9999,0.000009975067,0.000006013392,0.00004053197,0.00002069535,0.00002278611],"domain_scores_gemma":[0.9999363,0.00002066695,0.00001390337,0.00000812976,0.00001087712,0.00001000649],"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":[0.00001218406,0.000004244811,0.0001875938,0.00001347007,0.000001734509,0.00001756453,0.000006334064,0.00006825847,0.9986466,0.00009784672,0.00002451448,0.0009197448],"study_design_scores_gemma":[0.000003327629,0.00002387303,0.0007052146,0.000002206597,0.000002947194,0.00005963784,0.000009411694,0.002515234,0.9960865,0.00003415665,0.0005544708,0.000003055815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457624,0.0005811563,0.05160061,0.0001163729,0.00005191174,0.00005381344,0.0002304076,0.0001956233,0.001407823],"genre_scores_gemma":[0.9349917,0.0005161084,0.06115091,0.0001038022,0.00001884574,0.00007336971,0.0003692871,0.00005620721,0.002719854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004326288,"threshold_uncertainty_score":0.001482189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404469212021512,"score_gpt":0.2056520487730305,"score_spread":0.1916073566528154,"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."}}