{"id":"W2581907179","doi":"10.1002/jlcr.3491","title":"Impact of dianionic and dicationic linkers on tumor uptake and biodistribution of [<sup>64</sup>Cu]Cu/NOTA peptide‐based gastrin‐releasing peptide receptors antagonists","year":2017,"lang":"en","type":"article","venue":"Journal of Labelled Compounds and Radiopharmaceuticals","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Biodistribution; Peptide; In vivo; Ligand (biochemistry); Polyethylene glycol; Stereochemistry; PEG ratio; Receptor; Combinatorial chemistry; In vitro; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000251268,0.0004054793,0.000239484,0.00007054031,0.000102221,0.0002331083,0.000190505,0.0002391885,0.0005527207],"category_scores_gemma":[0.0004659609,0.0001464274,0.0001091502,0.00007676546,0.0001992033,0.0002619609,0.0001244188,0.000271084,0.000164157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099248,"about_ca_system_score_gemma":0.0001751864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005661832,"about_ca_topic_score_gemma":0.0007924862,"domain_scores_codex":[0.9998147,0.00004812219,0.00001460545,0.00004267759,0.00003920527,0.00004068951],"domain_scores_gemma":[0.9996019,0.000134371,0.0001496203,0.00001753791,0.00004788473,0.00004865842],"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":[0.00034607,0.00001650234,0.0001328739,0.00006546476,0.00001258016,0.00003545428,0.00001708073,0.0001570753,0.9978359,0.00003583945,0.00001603541,0.001329212],"study_design_scores_gemma":[0.00001907891,0.0004246356,0.001060943,0.000003632953,0.00002290994,0.0001015831,0.00001096397,0.0005111904,0.9970254,0.000008042597,0.0008065607,0.000004932318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958985,0.002080045,0.001197905,0.00003871844,0.00001659637,0.00002286768,0.00005127922,0.0000182519,0.000675776],"genre_scores_gemma":[0.9959075,0.001207287,0.002108814,0.0000618573,0.00001071343,0.00002962857,0.00009144731,0.00001973564,0.0005629737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005661832,"threshold_uncertainty_score":0.002248704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03966911205757321,"score_gpt":0.3648649257316762,"score_spread":0.325195813674103,"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."}}