{"id":"W4282585028","doi":"10.1186/s41181-022-00165-0","title":"Synthesis of a 2-nitroimidazole derivative N-(4-[18F]fluorobenzyl)-2-(2-nitro-1H-imidazol-1-yl)-acetamide ([18 F]FBNA) as PET radiotracer for imaging tumor hypoxia","year":2022,"lang":"en","type":"article","venue":"EJNMMI Radiopharmacy and Chemistry","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Division of Graduate Education; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada","keywords":"Radiosynthesis; Tumor hypoxia; Acetamide; Chemistry; In vivo; Positron emission tomography; Hypoxia (environmental); High-performance liquid chromatography; Imaging agent; Nitroimidazole; Radiochemistry; Nuclear medicine; Oxygen; Medicine; Chromatography; Biology; Internal medicine; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004327107,0.0005245439,0.0006575016,0.00007894946,0.0004967417,0.00005471268,0.0005352379,0.00006466077,0.0008793536],"category_scores_gemma":[0.0002433573,0.0005970674,0.0003934126,0.0002189952,0.0003093811,0.00002702474,0.0003479673,0.0003745049,0.000002559432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007969641,"about_ca_system_score_gemma":0.0003317174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004695248,"about_ca_topic_score_gemma":0.00000142594,"domain_scores_codex":[0.9973087,0.0001081308,0.0005887438,0.000916103,0.0003807863,0.0006975508],"domain_scores_gemma":[0.9984341,0.000117442,0.0004070237,0.0005838945,0.0001578981,0.0002996019],"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":[0.000995946,0.000199995,0.0002753645,0.0003703537,0.0002818406,0.00002686929,0.0001496667,0.0001514789,0.9790809,0.00002514559,0.0137431,0.004699393],"study_design_scores_gemma":[0.002344853,0.00005850414,0.0001812354,0.00002790813,0.0002369767,0.0007493885,0.0007418218,0.0004079544,0.7886459,0.00008930144,0.2059544,0.0005617152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762426,0.01832219,0.0002081997,0.0003308322,0.0006858459,0.0005686473,0.0006932882,0.00005571482,0.002892696],"genre_scores_gemma":[0.9928569,0.001397369,0.001148699,0.0006770946,0.001619718,0.0006975383,0.0002238012,0.0001169835,0.001261904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1922113,"threshold_uncertainty_score":0.9996481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008257953942748763,"score_gpt":0.2553824058105807,"score_spread":0.2471244518678319,"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."}}