{"id":"W4388821632","doi":"10.1021/acs.nanolett.3c02780","title":"Gas Vesicle–Blood Interactions Enhance Ultrasound Imaging Contrast","year":2023,"lang":"en","type":"article","venue":"Nano Letters","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; Hospital for Sick Children; Kavli Nanoscience Institute, California Institute of Technology; Howard Hughes Medical Institute; Center for Environmental Microbial Interactions, California Institute of Technology; Donna and Benjamin M. Rosen Bioengineering Center, California Institute of Technology; National Institutes of Health; Canada Research Chairs; California Institute of Technology; Canadian Institutes of Health Research; NanoMedicines Innovation Network","keywords":"Nanomedicine; In vivo; Surface modification; Chemistry; Flow cytometry; Vesicle; Biophysics; Nanotechnology; Nanoparticle; Preclinical imaging; Ultrasound; Immunogenicity; Molecular imaging; Optical imaging; Biomedical engineering; Materials science; Medicine; Biochemistry; Antibody; Biology; Molecular biology; Immunology","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":[0.0001978309,0.0002728649,0.0001712112,0.0001339995,0.00009846012,0.0003500895,0.0001766276,0.0004254175,0.001563262],"category_scores_gemma":[0.0002688268,0.0001733321,0.0001209692,0.00008148886,0.000224906,0.000313577,0.0003674687,0.0003285501,0.0003975095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614165,"about_ca_system_score_gemma":0.0001527137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005537719,"about_ca_topic_score_gemma":0.0004527885,"domain_scores_codex":[0.9998699,0.00002617531,0.000006056999,0.00002842382,0.0000262144,0.00004316324],"domain_scores_gemma":[0.9998682,0.00005852984,0.0000250359,0.000006242873,0.00001946776,0.00002259787],"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":[0.00002455494,0.000003493139,0.00005880871,0.000008698771,0.00000127433,0.00001418458,0.000006329064,0.00003870439,0.9991438,0.00009635999,0.00002339224,0.0005803187],"study_design_scores_gemma":[0.000004616194,0.00003868094,0.0007367638,0.00000131478,0.000003855875,0.00004101504,0.00000657977,0.001587078,0.9969113,0.00003051297,0.0006364255,0.000001837327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855929,0.001021551,0.01101883,0.0001621633,0.00001923062,0.0000197399,0.00003991348,0.0001328722,0.001992813],"genre_scores_gemma":[0.9933504,0.000332087,0.004544564,0.00008520293,0.000009324958,0.00001106191,0.00004968255,0.00003183934,0.001585893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001563262,"threshold_uncertainty_score":0.005229592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006004874810766965,"score_gpt":0.2412356179665563,"score_spread":0.2352307431557893,"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."}}