{"id":"W3022302256","doi":"10.1021/acs.nanolett.0c01310","title":"Simultaneous Intravital Optical and Acoustic Monitoring of Ultrasound-Triggered Nanobubble Generation and Extravasation","year":2020,"lang":"en","type":"article","venue":"Nano Letters","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Terry Fox Research Institute; Canada Foundation for Innovation; Prostate Cancer Canada; Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation","keywords":"Microbubbles; Extravasation; Ultrasound; Intravital microscopy; Optical imaging; Focused ultrasound; Nanotechnology; Materials science; Microcirculation; Medicine; Pathology; Radiology; Optics","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":[0.00003059434,0.00009696609,0.0001153186,0.00002766969,0.00004788214,0.00003728978,0.00004200214,0.00005434888,0.000006249951],"category_scores_gemma":[0.00005242801,0.0001006472,0.00001644467,0.00008578103,0.00004793036,0.00008528424,0.000006720728,0.00006535299,0.000003363135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001704597,"about_ca_system_score_gemma":0.000004990506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003744923,"about_ca_topic_score_gemma":0.000001016683,"domain_scores_codex":[0.9994977,0.000007781568,0.0001490149,0.0001376036,0.00009251905,0.0001153688],"domain_scores_gemma":[0.9996719,0.0001480156,0.00001916287,0.00006921607,0.00001729014,0.00007442839],"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":[0.000002987224,0.00000569089,0.00098434,0.00003839171,0.00001720016,0.000001598161,0.0005180027,0.01328569,0.9823117,0.00003323057,0.00007317934,0.00272802],"study_design_scores_gemma":[0.001035051,0.0001158366,0.006033171,0.00004494266,0.0001626825,0.00007775906,0.0004000744,0.06176243,0.9284391,0.00003514328,0.001317119,0.0005766568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818801,0.0002499202,0.01722628,0.0003293699,0.00006548571,0.0001164015,0.000008531685,0.00008363987,0.00004028844],"genre_scores_gemma":[0.9963564,0.0001232921,0.003147897,0.0001079815,0.000220492,0.00001010816,0.00001143763,0.00001879656,0.000003616228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05387254,"threshold_uncertainty_score":0.4104273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152260806160168,"score_gpt":0.2005957721452701,"score_spread":0.1890731640836684,"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."}}