{"id":"W4281610015","doi":"10.1186/s41181-022-00164-1","title":"Development of a multi faceted platform containing a tetrazine, fluorophore and chelator: synthesis, characterization, radiolabeling, and immuno-SPECT imaging","year":2022,"lang":"en","type":"article","venue":"EJNMMI Radiopharmacy and Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; TRIUMF","keywords":"Fluorophore; Pretargeting; Molecular imaging; Biodistribution; Chemistry; Conjugate; DOTA; Fluorescence-lifetime imaging microscopy; Positron emission tomography; Tetrazine; Chelation; Preclinical imaging; Fluorescence; Radiochemistry; In vivo; Nuclear medicine; In vitro; Radioimmunotherapy; Biochemistry; Medicine; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002493036,0.0002586375,0.0004052469,0.00004048655,0.0004771847,0.00003002427,0.0001039071,0.00004641625,0.000282535],"category_scores_gemma":[0.00005716365,0.0002700113,0.00004668256,0.0001777253,0.0001905527,0.00009262363,0.0001338621,0.0004375378,6.329108e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009200634,"about_ca_system_score_gemma":0.0001253247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003026433,"about_ca_topic_score_gemma":5.66095e-8,"domain_scores_codex":[0.9985864,0.00001503307,0.0004790607,0.0004287315,0.0002154966,0.0002753375],"domain_scores_gemma":[0.999253,0.00007870234,0.0001705498,0.0001870158,0.00004692436,0.0002638147],"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":[0.0002482089,0.0001280487,0.005063631,0.0005273467,0.0001376198,0.00002817797,0.0009313391,0.000001106807,0.9773244,0.000009239654,0.00003014525,0.01557068],"study_design_scores_gemma":[0.003071292,0.00001543649,0.004728387,0.0001028086,0.000188903,0.001096498,0.001035769,0.004626915,0.9639338,0.000004348669,0.02087695,0.0003188889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922037,0.006714312,0.00009019899,0.0002907024,0.00002583189,0.0002672095,0.00008956133,0.00006447426,0.0002539995],"genre_scores_gemma":[0.9967746,0.00078125,0.001719407,0.0001454982,0.00006972338,0.0001571362,0.0001246113,0.00003150222,0.0001962851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0208468,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144063875386691,"score_gpt":0.2818420979804468,"score_spread":0.2604014592265799,"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."}}