{"id":"W3016439079","doi":"10.3390/molecules25081872","title":"Synthesis and Evaluation of [18F]FEtLos and [18F]AMBF3Los as Novel 18F-Labelled Losartan Derivatives for Molecular Imaging of Angiotensin II Type 1 Receptors","year":2020,"lang":"en","type":"article","venue":"Molecules","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"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":"Losartan; Biodistribution; Chemistry; Losartan Potassium; Angiotensin II; In vivo; Angiotensin receptor; Receptor; Renin–angiotensin system; Pharmacology; Positron emission tomography; In vitro; Internal medicine; Biochemistry; Medicine; Nuclear medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003077653,0.0001834591,0.0002771314,0.0000510321,0.00007827035,0.00001467249,0.00009654145,0.00006512787,0.00003277328],"category_scores_gemma":[0.0006043951,0.0001805556,0.0000801906,0.0001108454,0.0001066694,0.000007816724,0.0001142488,0.00004500251,4.059671e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006654073,"about_ca_system_score_gemma":0.00007187467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002047041,"about_ca_topic_score_gemma":0.000002192273,"domain_scores_codex":[0.9988652,0.00008340826,0.000282965,0.0003796997,0.0002199318,0.0001688056],"domain_scores_gemma":[0.9991724,0.00004060924,0.0001768955,0.0001432422,0.0003810699,0.00008574756],"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":[0.0002442586,0.0000423661,0.0001733667,0.00006093816,0.0001155586,9.957516e-7,0.0001980503,0.0001047342,0.9958271,0.000340506,0.0001085448,0.002783571],"study_design_scores_gemma":[0.0007504427,0.000558778,0.00009739996,0.00006046096,0.0001575944,0.000005788851,0.0003362776,0.005610606,0.9914922,0.0002910922,0.0004496843,0.0001897146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868612,0.002562265,0.009529195,0.0004289827,0.00004472747,0.0004294369,0.00003046111,0.00000782902,0.0001058517],"genre_scores_gemma":[0.9885074,0.0001147769,0.01100993,0.0002210231,0.0000390663,0.00002268847,0.000039562,0.00003355579,0.0000119364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005505872,"threshold_uncertainty_score":0.7362842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339089873974195,"score_gpt":0.2693226619138682,"score_spread":0.2459317631741262,"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."}}