{"id":"W2413297871","doi":"10.1016/j.ultrasmedbio.2016.05.005","title":"Quantification of Endothelial αvβ3 Expression with High-Frequency Ultrasound and Targeted Microbubbles: In Vitro and In Vivo Studies","year":2016,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"FujiFilm VisualSonics (Canada)","funders":"Center for Translational Molecular Medicine; Maastricht Universitair Medisch Centrum; Universiteit Maastricht; Deutsche Forschungsgemeinschaft","keywords":"In vivo; Microbubbles; Immunofluorescence; Angiogenesis; Pathology; Endothelium; Ultrasound; In vitro; Medicine; Biology; Cancer research; Immunology; Internal medicine; Antibody; Radiology","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":[0.0009699492,0.0004532898,0.0003506517,0.0004110227,0.0003364424,0.0003988844,0.0003149705,0.0006023458,0.001024044],"category_scores_gemma":[0.0004048875,0.0002934817,0.000387154,0.0005829197,0.0003634251,0.0004684761,0.0002142135,0.0007841876,0.0003063056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840365,"about_ca_system_score_gemma":0.0002653512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002104408,"about_ca_topic_score_gemma":0.001849096,"domain_scores_codex":[0.999569,0.000111635,0.00003030055,0.00008391965,0.0001074442,0.00009771105],"domain_scores_gemma":[0.9996322,0.0001321058,0.00006980506,0.00004763058,0.00007885818,0.00003934932],"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":[0.0001304383,0.00003850561,0.00008747307,0.0000239601,0.000004681643,0.00001264756,0.0000324713,0.00005656024,0.9987358,0.0000810416,0.00001535951,0.0007810145],"study_design_scores_gemma":[0.000009209642,0.0001123502,0.001371239,0.000002274079,0.00001432792,0.00005838758,0.00001868621,0.001238101,0.9966517,0.00004207525,0.000477615,0.000003872387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225093,0.002752718,0.07147763,0.0001361467,0.00005825426,0.0001203676,0.0002485521,0.000199139,0.002497899],"genre_scores_gemma":[0.9503103,0.00214145,0.04088461,0.0001265861,0.00003043004,0.0002838311,0.0004016848,0.0001254718,0.005695598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002104408,"threshold_uncertainty_score":0.005129635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497699085923622,"score_gpt":0.2801819770656278,"score_spread":0.2652049862063916,"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."}}