{"id":"W2225668990","doi":"10.1021/acs.bioconjchem.5b00609","title":"<sup>125</sup>I-Tetrazines and Inverse-Electron-Demand Diels–Alder Chemistry: A Convenient Radioiodination Strategy for Biomolecule Labeling, Screening, and Biodistribution Studies","year":2015,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Centre for Probe Development and Commercialization","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Cancer Research","keywords":"Biodistribution; Chemistry; Bioorthogonal chemistry; Tetrazine; Biomolecule; Halogenation; Combinatorial chemistry; Iodine; Radiochemistry; Organic chemistry; In vitro; Click chemistry; Biochemistry","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":[0.0003487623,0.0003888166,0.0002360136,0.0001975315,0.00009191305,0.0002569844,0.0003936611,0.0003299161,0.0007143122],"category_scores_gemma":[0.0002245011,0.0002411192,0.0001918681,0.000190395,0.0004109573,0.0003664578,0.0002194847,0.0004924747,0.0004552306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002582776,"about_ca_system_score_gemma":0.0001937958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002605004,"about_ca_topic_score_gemma":0.0004594592,"domain_scores_codex":[0.9998455,0.00002858203,0.00001301183,0.0000248616,0.00006055526,0.00002749069],"domain_scores_gemma":[0.9998863,0.00002511917,0.00004105387,0.00001467149,0.00002068899,0.0000121586],"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":[0.00006273752,0.000009650829,0.00009432264,0.00004325511,0.000006929152,0.00005319875,0.00001834531,0.0001586543,0.9955269,0.0006079981,0.00006595837,0.003352063],"study_design_scores_gemma":[0.00000469143,0.00007514675,0.0001924369,8.241269e-7,0.000005877966,0.000129897,0.000003005872,0.0004311298,0.9973774,0.00003982827,0.001736516,0.000003328185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7899401,0.004286301,0.196721,0.0003256202,0.00008521109,0.0003050595,0.0003357371,0.0006958704,0.007305095],"genre_scores_gemma":[0.9203604,0.001945472,0.07066763,0.0001181462,0.00001799736,0.0001109634,0.0003987585,0.00007306231,0.00630758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007143122,"threshold_uncertainty_score":0.00238955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05945795980105454,"score_gpt":0.3128626229184703,"score_spread":0.2534046631174157,"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."}}