{"id":"W2277918965","doi":"10.1021/acs.jmedchem.5b01881","title":"Preparation and Evaluation of Radiolabeled Antibody Recruiting Small Molecules That Target Prostate-Specific Membrane Antigen for Combined Radiotherapy and Immunotherapy","year":2016,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Probe Development and Commercialization; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Cancer Research","keywords":"LNCaP; Biodistribution; Glutamate carboxypeptidase II; Chemistry; Antibody; Antigen; Prostate cancer; Immunotherapy; Cancer research; In vitro; In vivo; Small molecule; Prostate; Immune system; Biochemistry; Cancer; Immunology; Internal medicine; Medicine; Biology","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":[0.001267551,0.0001482266,0.000420797,0.00003684295,0.00006026632,0.00001171485,0.00007673544,0.0001033275,0.00007667072],"category_scores_gemma":[0.0001925702,0.00009921213,0.00007074218,0.00008233603,0.000186783,0.00008091969,0.000007097422,0.0001424264,7.913545e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008099815,"about_ca_system_score_gemma":0.0001590252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.175803e-7,"about_ca_topic_score_gemma":3.840193e-8,"domain_scores_codex":[0.9986888,0.00004217912,0.0005212893,0.0001810534,0.0004135566,0.0001531804],"domain_scores_gemma":[0.9984381,0.0002413532,0.0004970192,0.0001474516,0.0005187938,0.0001573254],"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":[0.002257039,0.0001037393,0.00253174,0.0003193734,0.0001588615,0.000004204568,0.0002640861,0.000005165849,0.981645,0.00001146246,0.0001003226,0.01259899],"study_design_scores_gemma":[0.01115804,0.0004077807,0.001983975,0.0006100726,0.0001708844,0.0004814884,0.0002001001,0.00158125,0.9806755,0.0002327915,0.002388544,0.0001095745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811072,0.01117533,0.004897288,0.002106593,0.00003459464,0.0005089387,0.00001212517,0.000008787347,0.0001491288],"genre_scores_gemma":[0.987336,0.007089156,0.00509847,0.00005982093,0.000281239,0.00002144109,0.00001979774,0.00001893645,0.00007516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01248941,"threshold_uncertainty_score":0.4045753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05381479314921161,"score_gpt":0.374484353225739,"score_spread":0.3206695600765274,"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."}}