{"id":"W3120419258","doi":"10.3390/nano11010138","title":"αvβ3-Specific Gold Nanoparticles for Fluorescence Imaging of Tumor Angiogenesis","year":2021,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"In vivo; Angiogenesis; Colloidal gold; Biodistribution; In vitro; Cancer research; Fluorescence-lifetime imaging microscopy; Materials science; Biophysics; Fluorescence; Nanotechnology; Nanoparticle; Chemistry; Medicine; Biochemistry; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001560873,0.0001781762,0.0003418108,0.00006304999,0.0000358701,0.00005838272,0.0001708169,0.00004254636,0.0001321469],"category_scores_gemma":[0.00004342657,0.000182611,0.0001179433,0.0001898242,0.00004326724,0.0001611189,0.00003624964,0.00001946936,0.00002306608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000631214,"about_ca_system_score_gemma":0.00004055468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000349116,"about_ca_topic_score_gemma":0.000001900379,"domain_scores_codex":[0.9988539,0.00001429606,0.0004468832,0.0002019195,0.0001427817,0.0003401794],"domain_scores_gemma":[0.9993255,0.00008851638,0.00006976624,0.0003315575,0.0001216408,0.00006298828],"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":[0.0000310763,0.0000185799,0.0003046088,0.0001978664,0.00003320464,0.00001737352,0.00008141113,0.0001439191,0.9945448,0.0002878341,0.001323204,0.003016136],"study_design_scores_gemma":[0.0004842888,0.00001692169,0.000353187,0.00006799948,0.00002782709,0.00002235251,0.00004450914,0.0002760502,0.9894292,0.0003734393,0.008697472,0.0002067552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930872,0.003726176,0.0007718033,0.0000171016,0.001560167,0.0002420997,0.0002483474,0.0002066618,0.000140486],"genre_scores_gemma":[0.9915414,0.0001996129,0.007845182,0.00002424786,0.0001884243,0.00006102642,0.00002474505,0.00006893735,0.00004638096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007374268,"threshold_uncertainty_score":0.744666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349995122339117,"score_gpt":0.2180455896612768,"score_spread":0.2045456384378856,"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."}}