{"id":"W2397349928","doi":"10.2967/jnumed.115.170951","title":"Characterization of<sup>18</sup>F-FPyKYNE-Losartan for Imaging AT<sub>1</sub>Receptors","year":2016,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Losartan; Chemistry; Angiotensin II; Receptor; Kidney; Endocrinology; Antagonist; Internal medicine; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001887809,0.0003138952,0.0002139516,0.0001198095,0.0001006383,0.0002830315,0.0002166913,0.0003118659,0.001152965],"category_scores_gemma":[0.000270636,0.0001465688,0.0001184907,0.00006586772,0.0001554638,0.0002294555,0.00007519986,0.0002917103,0.0006319893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936459,"about_ca_system_score_gemma":0.0001972341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108677,"about_ca_topic_score_gemma":0.001419074,"domain_scores_codex":[0.9999262,0.00001701473,0.000002975064,0.00001357254,0.00001769454,0.00002260474],"domain_scores_gemma":[0.999872,0.00004047575,0.00002845862,0.00000705155,0.00002092845,0.00003106126],"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":[0.0001558159,0.00002300875,0.0001211285,0.00002512658,0.00000556808,0.00007813726,0.00001191203,0.0001812131,0.9977815,0.00003958663,0.00004847869,0.001528627],"study_design_scores_gemma":[0.0000490255,0.0009661606,0.003943824,0.0000101791,0.00003082998,0.0009726115,0.00002874923,0.002883525,0.9869219,0.00004350184,0.004137332,0.00001239942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780147,0.002067234,0.01697804,0.0001645786,0.000020405,0.000101243,0.0002560223,0.00005724022,0.002340497],"genre_scores_gemma":[0.9758087,0.001549654,0.01641856,0.0001688355,0.00002954426,0.0001151796,0.0009370885,0.0001103558,0.004862052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001152965,"threshold_uncertainty_score":0.003857017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026982370625913,"score_gpt":0.2915394500594427,"score_spread":0.2712696263531836,"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."}}