{"id":"W2570039704","doi":"10.1021/acsbiomaterials.6b00645","title":"Real-Time and Multiplexed Photoacoustic Imaging of Internally Normalized Mixed-Targeted Nanoparticles","year":2017,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"FujiFilm VisualSonics (Canada)","funders":"Office of the Dean for Research, Princeton University; National Science Foundation","keywords":"Nanoparticle; In vivo; Absorbance; Materials science; Ethylene glycol; Multiplexing; Preclinical imaging; Photoacoustic imaging in biomedicine; Biomedical engineering; Nanotechnology; Chemistry; Chromatography; Optics; Computer science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006845009,0.0002640436,0.000370246,0.0002226383,0.0002753595,0.0004028877,0.0006862936,0.00004268945,0.00002588316],"category_scores_gemma":[0.000400508,0.0002593359,0.00004081582,0.0001524835,0.0004343467,0.0008821335,0.0002115632,0.00004612626,0.000009900943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007024716,"about_ca_system_score_gemma":0.00004355124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001994892,"about_ca_topic_score_gemma":0.000002262729,"domain_scores_codex":[0.9983384,0.00001044191,0.0004304874,0.0003134798,0.0002923487,0.0006148562],"domain_scores_gemma":[0.9990245,0.00006825552,0.000132521,0.0005204396,0.00008408907,0.0001702075],"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":[0.000008289642,0.000008393121,0.0005321098,0.00006074713,0.00001638013,0.00001334183,0.0002344606,0.005405018,0.9933774,0.00003018525,0.00001351782,0.0003001622],"study_design_scores_gemma":[0.0003511342,0.000009250814,0.01427108,0.000128205,0.00002364674,0.00003539905,0.00002981343,0.2044267,0.7804721,0.000009000015,0.00001287683,0.0002308618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971049,0.0001078461,0.001102664,0.00001274473,0.0009363689,0.0001651972,0.00004191505,0.0003697626,0.0001586406],"genre_scores_gemma":[0.9941869,0.00005722541,0.005625204,0.000004468786,0.00005606619,0.00001364294,0.000003184177,0.00004295641,0.00001038472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2129053,"threshold_uncertainty_score":0.9999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005845735075861586,"score_gpt":0.2161827802485417,"score_spread":0.2103370451726801,"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."}}