{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002859753,0.0002542803,0.0003238645,0.00003134255,0.00011755,0.00002552083,0.0001287242,0.0000779653,0.000099369],"category_scores_gemma":[0.0001128904,0.0002436254,0.0001130533,0.0001261919,0.0001213458,0.00008062912,0.00002458156,0.0002555193,0.000002851732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665233,"about_ca_system_score_gemma":0.00006076792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007521648,"about_ca_topic_score_gemma":2.055787e-8,"domain_scores_codex":[0.9984993,0.00001297468,0.0003050937,0.0003630783,0.00029403,0.0005255227],"domain_scores_gemma":[0.9987709,0.0001316278,0.0001090127,0.0003085302,0.0000239624,0.0006559887],"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":[0.0002605653,0.00008370582,0.003252228,0.0005257241,0.00008706091,0.0000166849,0.0001185057,0.00002395472,0.9842418,0.000008324042,0.007557331,0.00382415],"study_design_scores_gemma":[0.00414041,0.00001416822,0.000295239,0.0002238727,0.0003216841,0.0001728379,0.00008838097,0.001829035,0.9570947,0.000007076245,0.03556899,0.0002435863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535666,0.002219262,0.02815709,0.01439032,0.00009690508,0.0005686086,0.000007935844,0.0001033995,0.0008898748],"genre_scores_gemma":[0.9884039,0.00003950422,0.003688707,0.006467683,0.001060697,0.0001034625,0.00007666669,0.00004209424,0.0001172659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03483731,"threshold_uncertainty_score":0.9934754,"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."}}