{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001653353,0.0003454124,0.0002645144,0.0002476696,0.0001087291,0.0003364281,0.0004435393,0.0004459473,0.0005538305],"category_scores_gemma":[0.0001787839,0.0002056553,0.0002209754,0.0001742136,0.0001959796,0.0003212414,0.0002648321,0.0003761734,0.0003706923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003601136,"about_ca_system_score_gemma":0.0002940603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004359546,"about_ca_topic_score_gemma":0.0005164354,"domain_scores_codex":[0.999899,0.000008556075,0.000008770176,0.00002964534,0.0000284343,0.00002546948],"domain_scores_gemma":[0.9998478,0.00001609613,0.00005876192,0.00001967799,0.00002977151,0.00002782653],"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":[0.00002624547,0.00001760203,0.00006743413,0.00003653604,0.000004921417,0.00004546702,0.00001386684,0.000386444,0.9976609,0.000149786,0.00002513277,0.001565633],"study_design_scores_gemma":[0.000006913883,0.0002352653,0.0003213832,0.000002763651,0.00001033436,0.0001276922,0.000006237422,0.0022142,0.9960348,0.00002081879,0.001012447,0.000007215182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527654,0.0007166056,0.04413216,0.00008961914,0.00002936379,0.0001507803,0.0002418028,0.0003057896,0.001568368],"genre_scores_gemma":[0.9568076,0.0004046296,0.03972833,0.00003063307,0.000007842457,0.0001067353,0.000263325,0.00003164425,0.002619232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005538305,"threshold_uncertainty_score":0.002612829,"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."}}