{"id":"W4291130989","doi":"10.7150/thno.75336","title":"3p-C-NETA: A versatile and effective chelator for development of Al<sup>18</sup>F-labeled and therapeutic radiopharmaceuticals","year":2022,"lang":"en","type":"article","venue":"Theranostics","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal University Hospital; TRIUMF; Saskatoon Medical Imaging; University of Saskatchewan","funders":"Fonds Wetenschappelijk Onderzoek; Neuroendocrine Tumor Research Foundation; Education and Research Foundation for Nuclear Medicine and Molecular Imaging","keywords":"Radionuclide therapy; Chemistry; Somatostatin receptor; Somatostatin; Radiosynthesis; Neuroendocrine tumors; In vitro; Chelation; Pharmacokinetics; Radiochemistry; Combinatorial chemistry; Nuclear medicine; Pharmacology; Biochemistry; Medicine; Receptor; Positron emission tomography; Internal medicine; Organic chemistry","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":[0.0002935003,0.000165535,0.0003285953,0.00003703819,0.0001761417,0.000008337897,0.00007574094,0.00005213621,0.0001118768],"category_scores_gemma":[0.00007507133,0.0001519123,0.00004714359,0.0001398969,0.0001675028,0.00001752823,0.00006101922,0.0002286619,0.000001428758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006934399,"about_ca_system_score_gemma":0.00009059315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.722748e-7,"about_ca_topic_score_gemma":3.850315e-8,"domain_scores_codex":[0.9989933,0.000048922,0.0002750394,0.0002625186,0.0001952337,0.0002249542],"domain_scores_gemma":[0.9988753,0.0006610414,0.00006829094,0.0001643332,0.00005985533,0.0001712471],"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":[0.002166063,0.0006754223,0.001646365,0.0007613513,0.0008824915,0.000008314082,0.004178973,0.0001479459,0.9385028,0.00180141,0.0005160189,0.04871282],"study_design_scores_gemma":[0.01514798,0.000821693,0.004625944,0.00008735542,0.00128707,0.000153915,0.0008945357,0.03811877,0.6221493,0.001110938,0.3150289,0.0005736521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929299,0.003121561,0.0009699532,0.0009886766,0.00002790336,0.001592104,0.00005723051,0.00009170448,0.0002209419],"genre_scores_gemma":[0.9955298,0.0001028724,0.002639288,0.001046148,0.00004816903,0.000459063,0.00002022159,0.00004849056,0.0001059612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3163536,"threshold_uncertainty_score":0.6194804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04191526053679279,"score_gpt":0.3494986458903543,"score_spread":0.3075833853535615,"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."}}