{"id":"W2461328069","doi":"10.1021/acs.bioconjchem.5b00510","title":"Next Generation of SiFA<i>lin</i>-Based TATE Derivatives for PET Imaging of SSTR-Positive Tumors: Influence of Molecular Design on In Vitro SSTR Binding and In Vivo Pharmacokinetics","year":2015,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg; Bundesministerium für Bildung und Forschung","keywords":"Chemistry; In vivo; Pharmacokinetics; In vitro; Somatostatin receptor; Molecular imaging; Ex vivo; Biodistribution; Receptor; Combinatorial chemistry; Pharmacology; 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":[0.0001051775,0.0002955823,0.000183495,0.00008726917,0.00007277234,0.0001995038,0.0002001661,0.0003263129,0.0008585455],"category_scores_gemma":[0.0001491554,0.0001016907,0.0001647422,0.0001126048,0.0001232241,0.0002923955,0.0001164913,0.0003791723,0.0003374644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002849528,"about_ca_system_score_gemma":0.00009367093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002651557,"about_ca_topic_score_gemma":0.0004452261,"domain_scores_codex":[0.9999498,0.000009558285,0.000003539298,0.00001284225,0.00001092376,0.00001328059],"domain_scores_gemma":[0.9999388,0.00001066902,0.00002414854,0.000005646785,0.000009244406,0.00001139499],"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":[0.00008401598,0.00001411424,0.0001021488,0.00003712362,0.000005549276,0.00005594686,0.00001562962,0.0002279059,0.996296,0.0001768433,0.00005330214,0.002931477],"study_design_scores_gemma":[0.000008734854,0.0002121689,0.0003450407,0.000002074967,0.000007222613,0.0001765673,0.000007132669,0.0008229256,0.995717,0.00002415456,0.002672208,0.000004723479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812212,0.001655127,0.01421355,0.0001246928,0.00002317103,0.00006523127,0.0003018332,0.0001314818,0.002263723],"genre_scores_gemma":[0.9770386,0.0009640967,0.01930316,0.00009336098,0.00000798534,0.00006099124,0.000380643,0.00004068158,0.002110468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008585455,"threshold_uncertainty_score":0.002872109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085193003280595,"score_gpt":0.3269301257667916,"score_spread":0.2760781957339857,"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."}}