{"id":"W2029424531","doi":"10.1089/cbr.2012.1196","title":"Positron-Emission Tomography Imaging of the TSPO with [ <sup>18</sup> F]FEPPA in a Preclinical Breast Cancer Model","year":2013,"lang":"en","type":"article","venue":"Cancer Biotherapy and Radiopharmaceuticals","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Translocator protein; Biodistribution; Radiosynthesis; Positron emission tomography; Ex vivo; In vivo; Preclinical imaging; Nuclear medicine; Breast cancer; Molecular imaging; Imaging agent; Chemistry; Medicine; Radioligand; Cancer research; Cancer; Pathology; Receptor; Internal medicine; Biology; Neuroinflammation","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":[0.0001876281,0.0003007029,0.000210671,0.0001567335,0.00008781572,0.0001442914,0.0002025713,0.0003268191,0.0007982022],"category_scores_gemma":[0.0001014922,0.0001720547,0.0001250298,0.0001213997,0.0001468404,0.0001801343,0.00009806059,0.0002544088,0.0003484362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001816487,"about_ca_system_score_gemma":0.0001801336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183299,"about_ca_topic_score_gemma":0.0013153,"domain_scores_codex":[0.9999412,0.00001348551,0.000002489685,0.00001353296,0.0000165918,0.00001267679],"domain_scores_gemma":[0.9999454,0.00001122387,0.00001662323,0.000005359081,0.00001211651,0.000009240659],"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":[0.000127529,0.00001101274,0.0001292641,0.00002678293,0.000004205849,0.00004770014,0.000008551488,0.0001916385,0.998295,0.00004286485,0.0000563234,0.001059163],"study_design_scores_gemma":[0.00002929866,0.0006303186,0.002995284,0.00000657765,0.00003231452,0.0006873803,0.00002334158,0.002682871,0.98873,0.00003499715,0.004140032,0.000007512909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968593,0.003382429,0.02452661,0.0001840687,0.00002115531,0.0000723757,0.0004197172,0.0002600735,0.002540737],"genre_scores_gemma":[0.9559084,0.003198803,0.03530571,0.00009719408,0.0000203304,0.0001487185,0.0006963705,0.00009246126,0.004531884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001183299,"threshold_uncertainty_score":0.002670228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977300146189891,"score_gpt":0.3653497138057176,"score_spread":0.3355767123438187,"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."}}