{"id":"W2027998512","doi":"10.1021/bc0500591","title":"A New Strategy for the Preparation of Peptide-Targeted Technetium and Rhenium Radiopharmaceuticals. The Automated Solid-Phase Synthesis, Characterization, Labeling, and Screening of a Peptide-Ligand Library Targeted at the Formyl Peptide Receptor","year":2005,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chemistry; Peptide; Combinatorial chemistry; Ligand (biochemistry); Peptide synthesis; Rhenium; Solid-phase synthesis; Chromatography; Chelation; Receptor; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000359631,0.0003190845,0.0004186632,0.00002565225,0.0003655938,0.00006721282,0.0002681247,0.0002108242,0.0002982493],"category_scores_gemma":[0.000224105,0.0001934507,0.0001289048,0.0002821704,0.0005337448,0.0001815779,0.0001150543,0.0002755488,0.000002406759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239404,"about_ca_system_score_gemma":0.0001758549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007029232,"about_ca_topic_score_gemma":6.718977e-7,"domain_scores_codex":[0.998207,0.00003729388,0.0007403004,0.0004264059,0.0002467061,0.0003422424],"domain_scores_gemma":[0.9981677,0.0005223778,0.0004175114,0.0005067884,0.0001428067,0.000242794],"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":[0.0009288531,0.0001099502,0.0001634813,0.0004911505,0.0002151775,6.475368e-7,0.0002048469,0.00004191121,0.9885399,0.00002848049,0.006242725,0.003032834],"study_design_scores_gemma":[0.001980754,0.00007146028,0.0004140724,0.000165482,0.0004313448,0.00006088461,0.0001811306,0.02157136,0.9363563,0.00001934559,0.03855347,0.0001943915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818147,0.004078308,0.0008738933,0.01024074,0.00002437127,0.001853245,0.0005780768,0.0002184938,0.0003182107],"genre_scores_gemma":[0.9931021,0.001345844,0.001699405,0.0002982449,0.0003750593,0.0003364157,0.000492517,0.00005145148,0.002298983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05218364,"threshold_uncertainty_score":0.7888691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543776239431965,"score_gpt":0.344956431568642,"score_spread":0.3195186691743224,"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."}}