{"id":"W2321241289","doi":"10.1021/ml300003v","title":"Triazole Appending Agent (TAAG): A New Synthon for Preparing Iodine-Based Molecular Imaging and Radiotherapy Agents","year":2012,"lang":"en","type":"article","venue":"ACS Medicinal Chemistry Letters","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Probe Development and Commercialization; McMaster University","funders":"Government of Ontario; Ontario Institute for Cancer Research","keywords":"Biodistribution; Synthon; LNCaP; Click chemistry; Chemistry; Prostate cancer; Combinatorial chemistry; Imaging agent; Iodine; Yield (engineering); Reducing agent; Triazole; Radiochemistry; Medicine; Stereochemistry; Cancer; Biochemistry; In vivo; Organic chemistry; Internal medicine; In vitro; Materials science","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":[0.0002022239,0.0003677308,0.0002161301,0.0002556637,0.0001388365,0.0002308245,0.000298293,0.0005002355,0.001107788],"category_scores_gemma":[0.0002306345,0.00016393,0.0002685996,0.000215686,0.0002261522,0.0003791656,0.0002481702,0.0005866667,0.0007561737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222668,"about_ca_system_score_gemma":0.0002046421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003782739,"about_ca_topic_score_gemma":0.0004394739,"domain_scores_codex":[0.9998993,0.00001485999,0.00001143191,0.00002143654,0.00003103096,0.00002202246],"domain_scores_gemma":[0.9998981,0.00001478244,0.00003550889,0.000009876094,0.0000142901,0.00002745555],"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":[0.00005156594,0.00002116561,0.0001027002,0.0000431878,0.000003795834,0.0001165934,0.00002453622,0.0001268491,0.9952355,0.0003967481,0.00009035815,0.003787008],"study_design_scores_gemma":[0.00002596561,0.0004440795,0.0006617851,0.000004093901,0.0000182771,0.0007119499,0.00000910813,0.001310104,0.9904097,0.00007251604,0.006319569,0.00001277669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049453,0.005480631,0.08109742,0.0004989788,0.0001810436,0.0001799702,0.0002963335,0.0009120622,0.006408374],"genre_scores_gemma":[0.9574065,0.001821019,0.03666281,0.0001453655,0.00004451368,0.00006239463,0.0003027288,0.00004739812,0.003507264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001107788,"threshold_uncertainty_score":0.003705919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656441817775466,"score_gpt":0.3321859705991893,"score_spread":0.3056215524214346,"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."}}