{"id":"W3108507758","doi":"10.1021/acs.bioconjchem.0c00525","title":"Assessment of Aptamer-Targeted Contrast Agents for Monitoring of Blood Clots in Computed Tomography and Fluoroscopy Imaging","year":2020,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; In vivo; Aptamer; Fibrinogen; Microbubbles; In vitro; Isothermal titration calorimetry; Biomedical engineering; Thrombosis; Fibrin; Nuclear medicine; Radiology; Ultrasound; Molecular biology; Biochemistry; Medicine; Internal medicine","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":[0.00009640979,0.0001641775,0.000291519,0.00002956703,0.00002478549,0.000009193582,0.000117464,0.0001022773,8.589904e-7],"category_scores_gemma":[0.00004096738,0.0001650366,0.0001093386,0.0001416531,0.0001296983,0.000004040243,0.00007439903,0.00006867194,1.862646e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005466191,"about_ca_system_score_gemma":0.00003218191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000751276,"about_ca_topic_score_gemma":3.2427e-7,"domain_scores_codex":[0.9990147,0.00001667882,0.0003509058,0.0003495728,0.00009231443,0.0001758129],"domain_scores_gemma":[0.9994213,0.00001391219,0.0002055262,0.0001683025,0.0001123431,0.00007863031],"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":[0.00004803708,0.00006921049,0.07938343,0.0002136143,0.00008867925,0.000001696039,0.00001311804,0.00000439292,0.9195775,0.000002547573,0.00002218155,0.0005755693],"study_design_scores_gemma":[0.0008841271,0.00009860377,0.01047425,0.00008095642,0.00006494873,0.000002267009,0.00009207668,0.0004215586,0.9875443,0.00001213942,0.0001663438,0.0001584214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973927,0.0007807573,0.001373041,0.00006420077,0.00002038577,0.0001981041,0.00008833232,0.00001982036,0.0000626502],"genre_scores_gemma":[0.9819649,0.0001561997,0.01761023,0.000044646,0.00008277005,0.00001189178,0.0001071428,0.00001616834,0.000005975677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06890918,"threshold_uncertainty_score":0.6729999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171993950476131,"score_gpt":0.2859475345753735,"score_spread":0.2742275950706122,"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."}}