{"id":"W2610172683","doi":"10.1371/journal.pone.0176958","title":"Development of prostate specific membrane antigen targeted ultrasound microbubbles using bioorthogonal chemistry","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Probe Development and Commercialization; University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Terry Fox Foundation; Ontario Institute for Cancer Research; Canadian Cancer Society","keywords":"Bioorthogonal chemistry; Pretargeting; Biotinylation; Chemistry; Glutamate carboxypeptidase II; In vivo; Tetrazine; Streptavidin; Microbubbles; Antibody; Epitope; Cancer research; Molecular biology; Click chemistry; Biotin; Prostate; Biochemistry; Ultrasound; Medicine; Combinatorial chemistry; Radioimmunotherapy; Monoclonal antibody; Cancer; Immunology; Biology; 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":[0.0000628042,0.0001326216,0.0001968987,0.00002498752,0.0002431178,0.00005848169,0.0002304222,0.00006101778,0.0001777886],"category_scores_gemma":[0.00001404817,0.0001399199,0.00003310115,0.00004778962,0.00007665081,0.00008831283,0.00002327459,0.00008964311,0.00002503487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003346679,"about_ca_system_score_gemma":0.0000409154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004208473,"about_ca_topic_score_gemma":0.000005043632,"domain_scores_codex":[0.9992579,0.000003033354,0.0002375179,0.0001525362,0.0001521852,0.0001968837],"domain_scores_gemma":[0.9994236,0.00002007866,0.00007988086,0.0003613931,0.00005598546,0.00005907774],"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":[0.000003870939,0.0001832719,0.003534537,0.0001909264,0.00017497,7.457213e-7,0.0003255002,0.00008306374,0.9952312,0.000009326183,0.00001120778,0.0002513701],"study_design_scores_gemma":[0.0001806303,0.000001833178,0.007021949,0.0001053793,0.00002542123,0.000003133267,0.00003780688,0.000285105,0.9903408,0.00001606716,0.001805106,0.0001767709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997552,0.000351777,0.0002421979,0.00001180204,0.0000192011,0.0001557549,0.00005731833,0.00008995727,0.001519947],"genre_scores_gemma":[0.9391662,0.0002371973,0.06028971,0.000002920883,0.00006773872,0.00001469636,0.00006035933,0.00003340532,0.0001277053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06004751,"threshold_uncertainty_score":0.5705768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653280643175655,"score_gpt":0.2158805634688301,"score_spread":0.1693477570370736,"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."}}