{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006042392,0.000317779,0.0008776058,0.0001602382,0.0004700269,0.0001041353,0.0002286288,0.0001498198,0.00006512224],"category_scores_gemma":[0.0003691526,0.0002499302,0.0002630023,0.000172073,0.000979531,0.0001803859,0.00006580936,0.0006702046,0.000001571772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541968,"about_ca_system_score_gemma":0.0002901813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001313111,"about_ca_topic_score_gemma":2.296654e-7,"domain_scores_codex":[0.997756,0.0000973655,0.001032469,0.0003272804,0.000424009,0.0003628536],"domain_scores_gemma":[0.997138,0.0004025747,0.001016619,0.0004038296,0.0003246316,0.0007143802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006918728,0.00441336,0.161865,0.001768371,0.001713809,0.000169309,0.0003531963,0.0002537399,0.7920917,0.0007495483,0.001579225,0.02812402],"study_design_scores_gemma":[0.07739975,0.006567466,0.6213242,0.004585106,0.004583042,0.004709665,0.0004641246,0.05765892,0.2019843,0.0008182433,0.01833568,0.001569488],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937528,0.002583255,0.00008806385,0.002714147,0.00006240044,0.0003448756,0.00009273948,0.00001342964,0.0003482935],"genre_scores_gemma":[0.995081,0.003466385,0.001018516,0.0001150195,0.0002102065,0.000005872267,0.00002027708,0.00002457205,0.00005812079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5901075,"threshold_uncertainty_score":0.9999953,"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."}}