{"id":"W2131955632","doi":"","title":"Dual mode fluorescent PET tracers: Efficient modular synthesis, facile 18F-radiolabelling, in vivo PET imaging and ex vivo fluorescence","year":2014,"lang":"en","type":"article","venue":"","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Fluorescence; Biodistribution; Fluorophore; Chemistry; In vivo; Ex vivo; Pet imaging; Imaging agent; Preclinical imaging; Positron emission tomography; Labelling; Rhodamine; Radiosynthesis; Fluorescence-lifetime imaging microscopy; Molecular imaging; Radiochemistry; Nuclear medicine; In vitro; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005550396,0.0006555423,0.0004339304,0.0003151285,0.0001313815,0.000587185,0.0005405917,0.0008461322,0.001103668],"category_scores_gemma":[0.0003594677,0.0004619919,0.0002932856,0.0003254948,0.0004108971,0.0006582292,0.0005036079,0.0009800512,0.0009798515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000604053,"about_ca_system_score_gemma":0.0003487525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003251731,"about_ca_topic_score_gemma":0.0003977574,"domain_scores_codex":[0.9997712,0.0000305329,0.00001644844,0.00006401732,0.00006203541,0.00005571897],"domain_scores_gemma":[0.9998688,0.00002009817,0.00004059035,0.00001609892,0.00002008194,0.00003432698],"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":[0.0000700312,0.00002004639,0.00007158871,0.00006375113,0.000004206086,0.00009143178,0.00001950687,0.0002344659,0.9927724,0.0007012254,0.0001895237,0.005761756],"study_design_scores_gemma":[0.00001651579,0.0001342912,0.0002091129,0.000006100893,0.000008460669,0.0004905151,0.000005267194,0.001572664,0.9916854,0.000113791,0.005744031,0.00001380073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5524695,0.006721824,0.427716,0.0007796118,0.0001521927,0.0003636966,0.001154766,0.001731625,0.00891076],"genre_scores_gemma":[0.7300978,0.004023538,0.2541169,0.0002469885,0.00006493895,0.0005810192,0.001108725,0.0001876729,0.00957242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001103668,"threshold_uncertainty_score":0.00438267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005168202281484049,"score_gpt":0.1968912217551248,"score_spread":0.1917230194736408,"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."}}