{"id":"W4360874519","doi":"10.1016/j.omtn.2023.03.015","title":"Development of DNA aptamers for visualization of glial brain tumors and detection of circulating tumor cells","year":2023,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"NIH Clinical Center; Natural Sciences and Engineering Research Council of Canada; Ministry of Health of the Russian Federation; University of Ottawa; Ministry of Education and Science of the Russian Federation; Russian Foundation for Basic Research; Tomsk State University","keywords":"Aptamer; In vivo; Glioma; Ex vivo; Biology; Molecular biology; Brain tumor; DNA; Fluorescence microscope; Cancer research; Chemistry; Computational biology; Pathology; Fluorescence; Biochemistry; Medicine; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002687965,0.0001241531,0.0002145189,0.00011136,0.00004672356,0.000004288698,0.0000763982,0.00008375112,5.510063e-7],"category_scores_gemma":[0.00005126232,0.000119488,0.0001053091,0.0002403145,0.00009948718,0.000003489824,0.00003924116,0.0000255762,1.207233e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008957501,"about_ca_system_score_gemma":0.00003410605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003728195,"about_ca_topic_score_gemma":0.000003141528,"domain_scores_codex":[0.9991052,0.00004178709,0.0003577965,0.0002287409,0.0001329823,0.0001335637],"domain_scores_gemma":[0.9994009,0.00001308279,0.0002659636,0.0001666897,0.0001261038,0.00002731725],"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":[0.0001028441,0.0000292945,0.00009779651,0.00005285988,0.00008027445,7.181047e-7,0.0001453883,0.00001895592,0.9756858,0.00002545432,0.000005341059,0.02375526],"study_design_scores_gemma":[0.0004177034,0.0002711016,0.0004389463,0.00003206865,0.00001498383,0.000002041706,0.0001578505,0.0005971077,0.9971527,0.00007144257,0.0007208264,0.0001232048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959022,0.00006753889,0.04061455,0.00001321759,0.00002293375,0.0002113901,0.00001223679,0.00002257862,0.00001348461],"genre_scores_gemma":[0.9891612,0.00004384544,0.01062006,0.00004581132,0.00001628987,0.000009209705,0.00006582349,0.00002591797,0.00001185799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03013912,"threshold_uncertainty_score":0.4872577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123585582074963,"score_gpt":0.2740144211372996,"score_spread":0.2627785653165499,"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."}}