{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006596209,0.0004430626,0.0001634581,0.0003717627,0.0000877628,0.0003077117,0.0002027519,0.0005787346,0.0005093534],"category_scores_gemma":[0.000804548,0.0001847717,0.0001477664,0.000153958,0.0002055281,0.0002993599,0.0001493031,0.0002628426,0.0001329599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686639,"about_ca_system_score_gemma":0.0001526677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003091434,"about_ca_topic_score_gemma":0.0005866328,"domain_scores_codex":[0.9997184,0.00009955689,0.00001501882,0.00005425642,0.00009143917,0.00002133801],"domain_scores_gemma":[0.9997178,0.00009586193,0.00008228999,0.00001389755,0.00006158106,0.00002858797],"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":[0.00005559275,0.00001156294,0.0002541812,0.00003459356,0.000003800658,0.00002458432,0.0000127208,0.0001121444,0.9973028,0.0000298728,0.00001159441,0.002146445],"study_design_scores_gemma":[0.000007676471,0.0003622707,0.001868453,0.000009113019,0.00002167241,0.0002559311,0.00001146221,0.003067808,0.9935917,0.00002466334,0.0007724912,0.000006565219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298261,0.009299452,0.0585781,0.0001179322,0.00003689439,0.0001368048,0.00007846177,0.0001082165,0.001818064],"genre_scores_gemma":[0.9394158,0.002312636,0.05652348,0.0000792771,0.00001728376,0.0001013405,0.0000963724,0.00001936945,0.00143442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006596209,"threshold_uncertainty_score":0.003488421,"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."}}