{"id":"W3007604760","doi":"10.1038/s41598-020-59584-1","title":"Coupling Chlorin e6 to the surface of Nanoscale Gas Vesicles strongly enhances their intracellular delivery and photodynamic killing of cancer cells","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Photodynamic therapy; Biophysics; Cancer cell; Vesicle; Chemistry; Flow cytometry; Fluorescence; Singlet oxygen; Confocal microscopy; HeLa; Nanoparticle; Nanotechnology; Biochemistry; Cancer; Materials science; Cell biology; Biology; Molecular biology; Membrane; Oxygen; Cell","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":[0.0001375805,0.0002340434,0.000136427,0.00008514864,0.00006757247,0.000185139,0.0001235168,0.0002691287,0.0005210201],"category_scores_gemma":[0.0001489188,0.00009699065,0.0001534393,0.00006574554,0.0001901163,0.0001894445,0.0002266949,0.0002302699,0.0001553261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259648,"about_ca_system_score_gemma":0.0001062929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004758115,"about_ca_topic_score_gemma":0.0005459423,"domain_scores_codex":[0.9999185,0.00001926866,0.000004923906,0.00001666756,0.00002045926,0.0000202451],"domain_scores_gemma":[0.9999361,0.00001949997,0.00001743438,0.000006088274,0.000008937738,0.00001198818],"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":[0.00001916064,0.000003387584,0.00003143398,0.00001021666,0.000001043471,0.000006659167,0.000005280485,0.00004201637,0.9995677,0.00003365149,0.000004093429,0.0002753635],"study_design_scores_gemma":[0.000002425309,0.00004483997,0.0002920453,8.225034e-7,0.000001438528,0.00002467148,0.00000388427,0.0002624829,0.9989979,0.000005513598,0.0003629929,0.00000108661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961981,0.0004228436,0.002571118,0.00003667283,0.000006074807,0.00001171186,0.00002918878,0.00002697218,0.0006973899],"genre_scores_gemma":[0.9963175,0.0003266867,0.002360464,0.00002638901,0.000002644417,0.00001018508,0.00005287582,0.00001124784,0.0008921383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005210201,"threshold_uncertainty_score":0.001743019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00942855817554792,"score_gpt":0.2024487747517487,"score_spread":0.1930202165762008,"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."}}