{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002075862,0.0003665385,0.0001896161,0.0001937709,0.0001177096,0.00022421,0.0002303694,0.0004074515,0.0005579061],"category_scores_gemma":[0.0003098607,0.0001779278,0.0001844512,0.00009923691,0.0002004178,0.0001819039,0.0001793959,0.0004042186,0.0003036067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720659,"about_ca_system_score_gemma":0.0001720675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003148402,"about_ca_topic_score_gemma":0.0005798222,"domain_scores_codex":[0.9998521,0.00002788578,0.000009094846,0.00004236426,0.00004781976,0.00002083569],"domain_scores_gemma":[0.99988,0.00004171427,0.00002362059,0.00001007193,0.00002200331,0.00002262487],"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":[0.00001988749,0.000008209922,0.00007923348,0.00001841938,0.00000231628,0.00002117426,0.00001430901,0.0003467706,0.9962894,0.0001161907,0.00001737485,0.003066717],"study_design_scores_gemma":[0.000008684952,0.00009961094,0.0002318999,0.000002319656,0.000004389574,0.000162367,0.000006106695,0.003396211,0.9945093,0.00008314238,0.001491883,0.000004195741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7376957,0.00333988,0.2559259,0.0003294436,0.0001006351,0.0001758328,0.0001726815,0.0005508688,0.001709062],"genre_scores_gemma":[0.8244495,0.00102492,0.1708435,0.0001882996,0.00002030218,0.0001605948,0.0002161979,0.00005817168,0.003038477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005579061,"threshold_uncertainty_score":0.001973987,"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."}}