{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008433108,0.0001106358,0.0001359812,0.00003771921,0.00009396372,0.000005244691,0.0002708488,0.00002685645,0.001614152],"category_scores_gemma":[0.00002611889,0.0001388991,0.00007593261,0.0002946531,0.00005928108,0.00002095724,0.0002036136,0.0003806753,0.000003348578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008445347,"about_ca_system_score_gemma":0.00005865565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001753533,"about_ca_topic_score_gemma":0.000001138875,"domain_scores_codex":[0.9991091,0.00002941492,0.0002435603,0.0002165759,0.0002170354,0.0001843487],"domain_scores_gemma":[0.9994627,0.00004606387,0.00009836366,0.0002974952,0.00003060368,0.00006482816],"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":[0.00002356942,0.0001782996,0.0009638645,0.00005784258,0.00002518527,0.00006829231,0.0001801499,0.002055375,0.9947198,0.0004527186,0.00006650833,0.001208421],"study_design_scores_gemma":[0.0006300551,0.000006120994,0.00004798749,0.000007537405,0.00003531631,0.00005438247,0.0003007137,0.002185646,0.9840124,0.0006094998,0.01197243,0.0001379726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987042,0.0002056877,0.00006311473,0.0002082971,0.0000237854,0.0000856739,0.0001825152,0.00003480618,0.01215411],"genre_scores_gemma":[0.9989216,0.00001747437,0.0003722957,0.0001069834,0.000012514,0.0001165693,0.0001156516,0.00001941677,0.0003174548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01190592,"threshold_uncertainty_score":0.9992985,"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."}}