{"id":"W2024482300","doi":"10.1166/jnn.2011.4167","title":"Single-Domain Antibody Bioconjugated Near-IR Quantum Dots for Targeted Cellular Imaging of Pancreatic Cancer","year":2011,"lang":"en","type":"article","venue":"Journal of Nanoscience and Nanotechnology","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"","keywords":"Single-domain antibody; Quantum dot; Materials science; Pancreatic cancer; Molecular imaging; Epithelial cell adhesion molecule; Cancer research; Nanotechnology; Carcinoembryonic antigen; Antibody; Cancer; Biophysics; Medicine; In vivo; Immunology; Biology; Internal medicine","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":[0.0001746639,0.0001773153,0.0002181909,0.0001486079,0.0001084893,0.0001605717,0.0001699964,0.0002497992,0.000424512],"category_scores_gemma":[0.00009445532,0.0001397181,0.0001311998,0.0001318854,0.0001192262,0.0001621423,0.0001772374,0.000232003,0.0001974027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207901,"about_ca_system_score_gemma":0.0001479674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003404102,"about_ca_topic_score_gemma":0.0007316407,"domain_scores_codex":[0.9999146,0.00001547221,0.00000585934,0.00002354447,0.00002833117,0.00001211271],"domain_scores_gemma":[0.9999722,0.000006220273,0.00000442955,0.000003882785,0.000006511383,0.000006757027],"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":[0.00001966628,0.000005981294,0.00003867012,0.00001699179,0.000001630993,0.00001182684,0.000007288803,0.0001230876,0.9982554,0.00006528923,0.00002939148,0.001424795],"study_design_scores_gemma":[0.000004501906,0.00004314505,0.0003488838,0.000001375529,0.00000404755,0.00006364403,0.000003479347,0.0021798,0.9964432,0.00001788568,0.0008877359,0.000002320587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693255,0.001720687,0.02684774,0.0001329221,0.00003172455,0.00003619642,0.0001094416,0.00018282,0.001612897],"genre_scores_gemma":[0.9775293,0.0008994353,0.01910626,0.00005329249,0.000005074119,0.00002579018,0.0001479044,0.00002552358,0.002207483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000424512,"threshold_uncertainty_score":0.001601934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618857074867757,"score_gpt":0.2777200996661712,"score_spread":0.2615315289174936,"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."}}