{"id":"W4390713344","doi":"10.1039/d3lc01068f","title":"Scalable droplet-based radiosynthesis of [<sup>18</sup>F]fluorobenzyltriphenylphosphonium cation ([<sup>18</sup>F]FBnTP) <i>via</i> a “numbering up” approach","year":2024,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute; University of British Columbia","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Institutes of Health","keywords":"Radiosynthesis; Biodistribution; Yield (engineering); Chemistry; Radiochemistry; Positron emission tomography; Nuclear medicine; Materials science","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":[0.0002029535,0.0005051416,0.0002263513,0.0001226205,0.0001719115,0.0002581912,0.0006050388,0.0005417338,0.003576776],"category_scores_gemma":[0.0003103953,0.0002188543,0.0002098439,0.0001037044,0.0002211179,0.00055138,0.0004336115,0.0007520833,0.001405898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094235,"about_ca_system_score_gemma":0.0002176367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003293731,"about_ca_topic_score_gemma":0.0005252037,"domain_scores_codex":[0.9998605,0.00001583336,0.000005337389,0.00006000669,0.00003579864,0.00002255326],"domain_scores_gemma":[0.9999328,0.0000191457,0.00001480464,0.000009942646,0.00001269399,0.00001071821],"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":[0.00005269494,0.00001575308,0.00002339238,0.00009238068,0.000006332472,0.00008250154,0.00002393593,0.0001980784,0.9900602,0.0009237694,0.0010382,0.007482779],"study_design_scores_gemma":[0.00001111541,0.0000838635,0.00004940865,0.000003130454,0.000004796691,0.0001153705,0.000006446828,0.001214388,0.9929479,0.0001115092,0.005444793,0.000007199114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4842316,0.009830216,0.441599,0.001913998,0.001374216,0.001110058,0.002637926,0.00524642,0.0520565],"genre_scores_gemma":[0.8496746,0.003196788,0.1300762,0.0006735441,0.0001055619,0.0004446703,0.0009029323,0.0003102511,0.01461545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003576776,"threshold_uncertainty_score":0.01196551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311382822187664,"score_gpt":0.2774540840023944,"score_spread":0.2543402557805177,"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."}}