{"id":"W3210086271","doi":"10.1016/j.omtn.2021.10.020","title":"11C-radiolabeled aptamer for imaging of tumors and metastases using positron emission tomography- computed tomography","year":2021,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Aptamer; Positron emission tomography; Preclinical imaging; Molecular imaging; Nuclear medicine; In vivo; Medicine; Metastasis; Cancer; Positron Emission Tomography-Computed Tomography; Radiology; Biology; Molecular 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001839608,0.0002740128,0.000370764,0.0001495057,0.0001289811,0.00003788838,0.0001413038,0.0001130969,0.000002173906],"category_scores_gemma":[0.00002997674,0.0002495589,0.0003620299,0.000377234,0.0001820932,0.000008904754,0.00008779716,0.00008224577,6.317009e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009601647,"about_ca_system_score_gemma":0.00004327697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000131175,"about_ca_topic_score_gemma":0.000001549607,"domain_scores_codex":[0.9985635,0.0001310501,0.0003203223,0.0005348447,0.0001621896,0.0002881027],"domain_scores_gemma":[0.9990307,0.0000160356,0.0001750217,0.000425577,0.0002583781,0.00009427982],"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":[0.0001536231,0.0001005819,0.003727119,0.00002482163,0.0002933525,0.00001583408,0.00001903097,0.00001241953,0.9850467,0.00003432775,0.00005362488,0.0105185],"study_design_scores_gemma":[0.0008481443,0.000233516,0.0005996473,0.00006400282,0.0001102295,0.00006298115,0.00006984701,0.00101497,0.9947259,0.0002098487,0.001759554,0.0003013049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354168,0.008007773,0.05611286,0.00008955125,0.00003551919,0.0002243963,0.00004660931,0.00004216268,0.00002430179],"genre_scores_gemma":[0.9322049,0.0002850287,0.06679401,0.0004120903,0.00004315525,0.00000676101,0.000193582,0.00004562659,0.00001487735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068114,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008702091717425732,"score_gpt":0.2632522011119731,"score_spread":0.2545501093945474,"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."}}