{"id":"W4282980393","doi":"10.1158/1538-7445.am2022-1741","title":"Abstract 1741: Cancer cell-derived extracellular vesicle mimicking: A parametric study of the physicochemical characteristics of EVs and their influence on cellular uptake in metastasis","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Concordia University; École de Technologie Supérieure; McGill University Health Centre","funders":"","keywords":"Zeta potential; Liposome; Microvesicles; Biophysics; Chemistry; Cancer cell; Vesicle; Nanoparticle tracking analysis; Lipid bilayer; Tumor microenvironment; Internalization; Cell; Cell biology; Cancer; Biochemistry; Nanotechnology; Biology; Membrane; Nanoparticle; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001834633,0.000237424,0.0001268467,0.0001383179,0.0001159223,0.0002055906,0.0001445442,0.0002441781,0.0006284143],"category_scores_gemma":[0.0002404984,0.00007274146,0.0001751524,0.0001905395,0.0001340951,0.0001674142,0.000149077,0.0001756719,0.0001624581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475319,"about_ca_system_score_gemma":0.0001169713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008698066,"about_ca_topic_score_gemma":0.0003670081,"domain_scores_codex":[0.9999119,0.00001107818,0.000005285397,0.0000236699,0.00002688412,0.00002112484],"domain_scores_gemma":[0.9998714,0.00003441945,0.00003789538,0.00001047416,0.00003156657,0.00001422817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000571495,0.00001683382,0.0003856727,0.00002050227,0.000002163241,0.00005191293,0.00001704576,0.0006559125,0.9979084,0.00009525203,0.00003562851,0.0007536641],"study_design_scores_gemma":[0.000005474715,0.000171716,0.002194654,0.000002780368,0.00000796422,0.00007639227,0.00001912989,0.006730725,0.9901663,0.00002363951,0.0005953441,0.000005851819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971969,0.0001861597,0.001869088,0.0000122559,0.000004916314,0.00001045481,0.0001157713,0.00002142563,0.0005831291],"genre_scores_gemma":[0.9970251,0.0001283308,0.00187359,0.000008157142,0.000002567311,0.00001649234,0.0001485415,0.00001382231,0.0007835435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008698066,"threshold_uncertainty_score":0.002102256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03929037992520492,"score_gpt":0.3305831615266498,"score_spread":0.2912927816014449,"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."}}