{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002201262,0.0001703048,0.0003636333,0.0001400909,0.0000112115,0.000008516491,0.00009967121,0.00001119713,0.000003490307],"category_scores_gemma":[0.0005858544,0.0001712596,0.00003960518,0.0002373672,0.0002419269,0.0001050628,0.00004033485,0.0001411824,1.420248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006455881,"about_ca_system_score_gemma":0.0001992428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002926136,"about_ca_topic_score_gemma":5.814488e-7,"domain_scores_codex":[0.9986926,0.00006128773,0.0004538649,0.0002839598,0.0002590443,0.0002492307],"domain_scores_gemma":[0.9990445,0.0001779348,0.0002477296,0.0001644704,0.0002517521,0.0001135532],"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":[0.001558291,0.0001470128,0.001891565,0.0007185568,0.00001336093,0.0002776018,0.00007651312,0.003878415,0.9913169,0.000001890907,0.00000959229,0.0001103324],"study_design_scores_gemma":[0.003557945,0.0002185238,0.0002547396,0.0004999914,0.00001754817,0.00003785534,0.0002103983,0.009687231,0.9853656,0.0000317685,0.000004827414,0.0001135816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985297,0.0001910552,0.0003039681,0.0001738068,0.000008613481,0.0006593895,0.00008440795,0.000008292089,0.00004070687],"genre_scores_gemma":[0.9949518,0.00003244523,0.004817722,0.0000573691,0.00001833588,0.00005781595,0.00003193944,0.00002257096,0.00001003463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005951279,"threshold_uncertainty_score":0.6983764,"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."}}