{"id":"W2095064118","doi":"10.1016/j.nucmedbio.2013.08.001","title":"Single step 18F-labeling of dimeric cycloRGD for functional PET imaging of tumors in mice","year":2013,"lang":"en","type":"article","venue":"Nuclear Medicine and Biology","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Biodistribution; Radiosynthesis; In vivo; Chemistry; Ex vivo; Context (archaeology); Specific activity; Pet imaging; Yield (engineering); Radiochemistry; Stereochemistry; Nuclear medicine; In vitro; Positron emission tomography; Biochemistry; Enzyme; Medicine; Biology","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":[0.00008939287,0.00006160134,0.00022848,0.00004692488,0.00001821985,7.520907e-7,0.00003192254,0.00002413001,0.0002103996],"category_scores_gemma":[0.0001119543,0.00004535212,0.00002305086,0.00009756034,0.0002240393,0.00001786706,0.00001379373,0.00008359705,0.000002281988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000876067,"about_ca_system_score_gemma":0.00001207243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000758309,"about_ca_topic_score_gemma":4.677981e-7,"domain_scores_codex":[0.9994838,0.00001012304,0.0002343813,0.000126668,0.00003603596,0.0001090282],"domain_scores_gemma":[0.9996077,0.000137169,0.00006649956,0.00006542568,0.00006646985,0.00005676051],"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":[0.00007114166,0.0000829657,0.007397673,0.0001307486,0.00001355091,9.834829e-7,0.00006223287,4.688812e-7,0.9850787,0.0003707583,0.00117704,0.005613726],"study_design_scores_gemma":[0.0458997,0.007529087,0.2845421,0.003077957,0.001417486,0.002353841,0.01769094,0.04880691,0.3243667,0.008268827,0.2545946,0.001451837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933391,0.0004865841,0.00009593112,0.004704491,0.00003728097,0.0001883025,0.000003664787,0.000009263759,0.001135378],"genre_scores_gemma":[0.9977412,0.0000476761,0.001303146,0.0007104627,0.0001090387,0.00001111018,0.00002275339,0.000007041329,0.00004760015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.660712,"threshold_uncertainty_score":0.2303728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05327871442597364,"score_gpt":0.3239179184203412,"score_spread":0.2706392039943676,"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."}}