{"id":"W4387518394","doi":"10.1186/s41181-023-00215-1","title":"Good practices for the automated production of 18F-SiFA radiopharmaceuticals","year":2023,"lang":"en","type":"article","venue":"EJNMMI Radiopharmacy and Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Radiochemistry; Nucleophile; Yield (engineering); Positron emission tomography; Combinatorial chemistry; Nuclear medicine; Materials science; Organic chemistry; Catalysis","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":[0.0005706514,0.000233934,0.0003553273,0.00003255383,0.000286036,0.0000302029,0.0001976246,0.00009555768,0.0001634962],"category_scores_gemma":[0.0006677127,0.0001784449,0.000155617,0.0005782594,0.000357038,0.0001178041,0.00004992721,0.000361152,0.00001351535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003923614,"about_ca_system_score_gemma":0.0001136263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005397076,"about_ca_topic_score_gemma":6.361294e-8,"domain_scores_codex":[0.9984242,0.00002447543,0.0004422888,0.0004568658,0.0002812889,0.0003709112],"domain_scores_gemma":[0.9982299,0.0006400346,0.0003253859,0.0004071179,0.000143951,0.0002536223],"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":[0.0005643402,0.0001850844,0.0005104518,0.001636287,0.000288033,0.00001385532,0.0001165629,0.0000626967,0.9767841,0.00008264004,0.01470925,0.005046682],"study_design_scores_gemma":[0.001875515,0.00002505949,0.0009686923,0.00006059923,0.0006140582,0.0003703356,0.0001741124,0.023293,0.8287101,0.00006186985,0.1436692,0.0001773905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757056,0.003914073,0.00006469573,0.01555577,0.0002673528,0.001219169,0.00006835501,0.0007999985,0.002404994],"genre_scores_gemma":[0.9899312,0.002439367,0.0003199625,0.000273461,0.0007892754,0.0003651915,0.00008707128,0.00003705583,0.00575743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.148074,"threshold_uncertainty_score":0.7276771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07201410742918082,"score_gpt":0.4206552122766982,"score_spread":0.3486411048475174,"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."}}