{"id":"W2048443834","doi":"10.1016/j.apradiso.2009.07.020","title":"Time-efficient and convenient synthesis of [18F]altanserin for human PET imaging by a new work-up procedure","year":2009,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"High-performance liquid chromatography; Radioligand; Pet imaging; Yield (engineering); Chemistry; Elution; Chromatography; Positron emission tomography; Materials science; Receptor; Nuclear medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001254516,0.00009886085,0.0002021996,0.0000535093,0.00007916802,0.0000148592,0.00003815143,0.00002457895,0.00003788832],"category_scores_gemma":[0.00004501742,0.00008484732,0.00002697646,0.0001012521,0.00007367677,0.00001810306,0.00001060468,0.00006031261,0.000001830461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001443552,"about_ca_system_score_gemma":0.00003110115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007601133,"about_ca_topic_score_gemma":1.519505e-7,"domain_scores_codex":[0.9993525,0.000005536218,0.000205809,0.0002053949,0.0001043383,0.0001264857],"domain_scores_gemma":[0.9995674,0.00005934197,0.00008670861,0.00011671,0.00002798617,0.0001417756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002263846,0.0005036293,0.001231668,0.000319991,0.00005622875,0.000002018237,0.0009490863,0.000006881578,0.3037195,0.03189892,0.2569793,0.4041064],"study_design_scores_gemma":[0.01074925,0.0007797037,0.03026381,0.001041662,0.0009151305,0.000163608,0.000858412,0.0420409,0.3746257,0.005770568,0.5314124,0.001378852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365086,0.001034318,0.02258222,0.03296267,0.00002989076,0.003562424,0.00004262034,0.0002784402,0.002998793],"genre_scores_gemma":[0.992176,0.0001011451,0.005811599,0.001144901,0.00004640924,0.0001347893,0.00003772421,0.00001075015,0.0005367073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4027276,"threshold_uncertainty_score":0.3459973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007691535253760566,"score_gpt":0.2673357149686323,"score_spread":0.2596441797148717,"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."}}