{"id":"W4281784746","doi":"10.1021/acs.molpharmaceut.2c00220","title":"Pretargeted PET of Osteodestructive Lesions in Dogs","year":2022,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Institutes of Health","keywords":"Medicine; Nuclear medicine; Positron emission tomography; Radioligand; Pretargeting; Pet imaging; In vivo; Tetrazine; Chemistry; Internal medicine; Receptor; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002385908,0.0002967366,0.000364641,0.0002885633,0.0001002189,0.0002643394,0.0002344872,0.000481734,0.0009347853],"category_scores_gemma":[0.0001536226,0.0002567395,0.00020405,0.0001816951,0.0002968331,0.0002802348,0.0001415757,0.0004695117,0.0003744751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762941,"about_ca_system_score_gemma":0.0002052484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008694818,"about_ca_topic_score_gemma":0.001523382,"domain_scores_codex":[0.9998986,0.00002325586,0.000005243831,0.00003024292,0.00001908543,0.0000236708],"domain_scores_gemma":[0.9999187,0.00001519443,0.00002804008,0.00001291436,0.00001215321,0.00001303706],"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":[0.001214804,0.0001682692,0.0009574821,0.0001019835,0.00001638573,0.0002798426,0.00005035575,0.0004153593,0.9927488,0.0001619697,0.0002950011,0.003589858],"study_design_scores_gemma":[0.0001501551,0.01079729,0.01061025,0.00002061662,0.0001059286,0.004419505,0.0002099749,0.004683762,0.957436,0.0001537649,0.01138883,0.00002399081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877816,0.002197904,0.007668755,0.000152152,0.00003288593,0.0001048245,0.00039227,0.0001465745,0.001523062],"genre_scores_gemma":[0.9846256,0.002087628,0.008433087,0.0001298145,0.00002505151,0.00009871159,0.001045069,0.00003626078,0.00351878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009347853,"threshold_uncertainty_score":0.003127158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419906053722713,"score_gpt":0.3135767965885566,"score_spread":0.2893777360513295,"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."}}