{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000456806,0.0004853998,0.0006509443,0.0003782472,0.0002020805,0.0003785515,0.0004474368,0.0004458952,0.001135296],"category_scores_gemma":[0.0002930041,0.0002712231,0.0002897766,0.0003518773,0.000187026,0.0002454462,0.0002323456,0.0004609623,0.0005030392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854135,"about_ca_system_score_gemma":0.000332002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004127004,"about_ca_topic_score_gemma":0.001069355,"domain_scores_codex":[0.9998011,0.00004959281,0.00001327163,0.00003510649,0.00006465241,0.00003636803],"domain_scores_gemma":[0.9998751,0.00002277483,0.00002672533,0.00001199165,0.00002527665,0.00003822054],"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":[0.0001728387,0.0001654481,0.00008613659,0.00009589027,0.00001358997,0.00006337609,0.00001870976,0.0007349008,0.9931533,0.000136638,0.00004630499,0.005312735],"study_design_scores_gemma":[0.0001544821,0.003905154,0.0004905059,0.00001048885,0.00005082768,0.0002051532,0.00001386869,0.001702128,0.9900056,0.00003014587,0.003416041,0.00001565525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678292,0.005012739,0.0226427,0.0001302261,0.00006439941,0.0008748235,0.0003778762,0.0001783786,0.002889681],"genre_scores_gemma":[0.9486554,0.003185398,0.04214637,0.0000945954,0.00003926751,0.0005505787,0.0007330489,0.00005148578,0.004543742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135296,"threshold_uncertainty_score":0.003797948,"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."}}