{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003774189,0.0005931044,0.0002624832,0.0004125768,0.0002895079,0.0003986404,0.0006320688,0.0007318342,0.001668618],"category_scores_gemma":[0.0003146614,0.0002030634,0.0002644876,0.0002329337,0.0004344267,0.0003954834,0.0004888386,0.0005974681,0.001282089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105684,"about_ca_system_score_gemma":0.0004562168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187331,"about_ca_topic_score_gemma":0.001350839,"domain_scores_codex":[0.9998434,0.00003210408,0.000007720078,0.00004357079,0.00003992423,0.00003328569],"domain_scores_gemma":[0.9998647,0.00002330438,0.00002975016,0.00001295197,0.00003453759,0.00003461132],"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":[0.0001837133,0.00003861609,0.0001549832,0.0001915289,0.00001425198,0.0001788997,0.00003939699,0.0003364275,0.986199,0.0007837135,0.0005472382,0.01133217],"study_design_scores_gemma":[0.00004119481,0.0003279929,0.0005135585,0.00001692356,0.00002551184,0.0006594415,0.00001185982,0.001346371,0.9777489,0.0001025938,0.01919,0.00001575127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7662479,0.01762357,0.1743186,0.001614967,0.0003916975,0.001230494,0.001423563,0.002329565,0.03481968],"genre_scores_gemma":[0.871641,0.004641013,0.1071291,0.0006074801,0.00006575476,0.0005648508,0.001345714,0.0002352279,0.01376979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001668618,"threshold_uncertainty_score":0.005582154,"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."}}