{"id":"W2983379295","doi":"10.1039/c9ra07723e","title":"The effects of trace metal impurities on Ga-68-radiolabelling with a tris(3-hydroxy-1,6-dimethylpyridin-4-one) (THP) chelator","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"Centre For Medical Engineering, King’s College London; Medical Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University College London; King's College London; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; National Science Foundation; Cancer Research UK; Wellcome Trust","keywords":"Chemistry; Chelation; Tris; Metal; Impurity; TRACE (psycholinguistics); Inorganic chemistry; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001578731,0.0001797041,0.0003632204,0.000027124,0.0001236132,0.00001344229,0.0001467241,0.00006429246,0.00004287898],"category_scores_gemma":[0.0001099163,0.0001117489,0.0001063932,0.000216005,0.0001862553,0.0001118006,0.00001384611,0.0002985796,0.00004222731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003478521,"about_ca_system_score_gemma":0.0000484288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000308603,"about_ca_topic_score_gemma":4.839973e-7,"domain_scores_codex":[0.9988834,0.0000312134,0.0002359784,0.0002741888,0.0003086865,0.0002664801],"domain_scores_gemma":[0.9982899,0.001048778,0.0001275945,0.0003540634,0.00005431462,0.0001253429],"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":[0.001194476,0.0005733452,0.001771303,0.001960576,0.0004812088,0.00001595315,0.0003501124,0.0003016361,0.9672094,0.006012204,0.0001021018,0.02002767],"study_design_scores_gemma":[0.001734726,0.0006140373,0.000408444,0.0003222989,0.0002240913,0.00002700225,0.0001793801,0.0003615679,0.9483684,0.0003461805,0.0472491,0.0001648046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713716,0.02152333,0.0001736705,0.0006270929,0.0001011769,0.0006980881,0.000007362969,0.00005938184,0.005438311],"genre_scores_gemma":[0.9947847,0.002015539,0.0006842678,0.00009805791,0.0001605252,0.00007451802,0.000004592928,0.00002342359,0.002154355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.047147,"threshold_uncertainty_score":0.4556986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034633212023623,"score_gpt":0.2823212629443662,"score_spread":0.27197493082413,"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."}}