{"id":"W2287909354","doi":"10.1002/jbio.201500293","title":"Multifunctional polyelectrolyte microcapsules as a contrast agent for photoacoustic imaging in blood","year":2016,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"FujiFilm VisualSonics (Canada)","funders":"Russian Foundation for Basic Research","keywords":"Photoacoustic imaging in biomedicine; Materials science; Polyelectrolyte; Visualization; Biomedical engineering; Nanotechnology; Fluorescence; Photoacoustic effect; Nanoparticle; In vivo; Quantum dot; Nanomedicine; Optics; Polymer; Computer science; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0003925875,0.0002109248,0.0003268758,0.0002678459,0.00004960079,0.00003784057,0.0001964474,0.0000665681,0.00005810671],"category_scores_gemma":[0.0001821067,0.0001571376,0.0001908168,0.0001382338,0.00005395739,0.0001930668,0.00001306812,0.0002119045,0.000007813692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398186,"about_ca_system_score_gemma":0.0001824111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001192129,"about_ca_topic_score_gemma":0.000007427169,"domain_scores_codex":[0.9985377,0.00001599163,0.0005978477,0.0001494006,0.0002251256,0.0004739807],"domain_scores_gemma":[0.9991691,0.0002917509,0.000164685,0.0001252165,0.0001381475,0.0001110724],"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":[0.0001240393,0.00008021612,0.0004262866,0.00004306022,0.00009069701,0.00008105873,0.0001289664,0.001237142,0.9928283,0.00002541813,0.0004434135,0.004491377],"study_design_scores_gemma":[0.01088978,0.0002858634,0.001787544,0.0007874939,0.0003350262,0.002639865,0.0003591516,0.08181419,0.8910667,0.0007641301,0.008615132,0.000655111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288608,0.003588696,0.06567708,0.0002023043,0.001070271,0.0002658389,0.00006496345,0.00005283951,0.000217235],"genre_scores_gemma":[0.9958702,0.0007648862,0.002848433,0.0001875449,0.0001854426,0.00001609179,0.000001568684,0.00004713977,0.00007868408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017616,"threshold_uncertainty_score":0.6407886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004804452651584781,"score_gpt":0.2051399468607964,"score_spread":0.2003354942092116,"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."}}