{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007570525,0.0001351308,0.0001313786,0.00008090219,0.0001584917,0.000079159,0.000140315,0.00001214969,0.0004386637],"category_scores_gemma":[0.000006900726,0.000138219,0.00009722524,0.0002642153,0.00004636809,0.0001593247,0.00003032084,0.0001217605,0.0007429064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001679738,"about_ca_system_score_gemma":0.00001827684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007941817,"about_ca_topic_score_gemma":0.000002875566,"domain_scores_codex":[0.9991318,0.00002672371,0.0001748657,0.0002234031,0.0001015651,0.0003416382],"domain_scores_gemma":[0.9994997,0.0001425409,0.00006672054,0.000203849,0.00002468254,0.00006249775],"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":[0.000003398767,0.00004010694,0.0126939,0.000004117099,0.00005037372,0.000006961423,0.0002343261,0.00007375697,0.9388027,0.0004179302,0.04557352,0.002098933],"study_design_scores_gemma":[0.00123723,0.00002018388,0.006689392,0.0000982226,0.0001505443,0.0000212113,0.0006771284,0.0001767568,0.9405754,0.0005980134,0.04909092,0.0006649769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878593,0.00002351202,0.005094502,0.002985333,0.0006019193,0.0001169785,0.00003509969,0.0001284185,0.003154943],"genre_scores_gemma":[0.9973631,0.000004527222,0.0002670019,0.0009168159,0.0004650976,0.00001482431,0.00005781509,0.00002413104,0.000886668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009503825,"threshold_uncertainty_score":0.9548807,"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."}}