{"id":"W2614291937","doi":"10.2147/ijn.s125192","title":"Photoacoustic imaging of tumor targeting with riboflavin-functionalized theranostic nanocarriers","year":2017,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"FujiFilm VisualSonics (Canada)","funders":"Université de Bordeaux; National Institutes of Health; Agence Nationale de la Recherche","keywords":"Liposome; Nanocarriers; Materials science; Amphiphile; Indocyanine green; Context (archaeology); Drug delivery; Photoacoustic imaging in biomedicine; Fluorescence-lifetime imaging microscopy; In vivo; Biomedical engineering; Biophysics; Nanotechnology; Fluorescence; Medicine; Pathology; Optics","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":[0.0002383805,0.0003700564,0.0001283601,0.0002125823,0.00008506432,0.0001866227,0.0001681917,0.0003911089,0.0004364124],"category_scores_gemma":[0.0001626453,0.0001022532,0.000140597,0.0001229138,0.0002078007,0.0002131173,0.0001876084,0.000259114,0.0001958765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004526577,"about_ca_system_score_gemma":0.000174072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009665295,"about_ca_topic_score_gemma":0.000543103,"domain_scores_codex":[0.9999175,0.00001958986,0.00000411737,0.00002094106,0.00001903973,0.00001872235],"domain_scores_gemma":[0.9999264,0.00002060208,0.00002279051,0.000005762696,0.00001416659,0.0000102803],"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":[0.00002937386,0.000004019128,0.00002930942,0.00001365485,0.000001398518,0.00001415883,0.000006133525,0.00008964561,0.9993808,0.00002806228,0.000007539028,0.0003957991],"study_design_scores_gemma":[0.00000498088,0.0000783522,0.0002962924,0.000002638704,0.000005291678,0.00003686143,0.00000419932,0.001574709,0.997647,0.00001237504,0.0003345628,0.000002765659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862171,0.00126549,0.01145118,0.00007929057,0.000009759861,0.00003266709,0.00006822178,0.0001057443,0.000770585],"genre_scores_gemma":[0.98917,0.0004943808,0.009087232,0.00003755278,0.00000497488,0.00002291223,0.00007834048,0.00001648742,0.001088202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009665295,"threshold_uncertainty_score":0.003284216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004859434664310143,"score_gpt":0.2294683345475168,"score_spread":0.2246088998832066,"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."}}