{"id":"W4293582030","doi":"10.1002/cbic.202200284","title":"Tellurophene‐Tagging of Teniposide Facilitates Monitoring by Mass Cytometry","year":2022,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Fullerene Chemistry and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"University of Toronto; Fluidigm","keywords":"Teniposide; Chemistry; Biodistribution; In vivo; Mass cytometry; Flow cytometry; In vitro; Computational biology; Biophysics; Biochemistry; Molecular biology; Etoposide; Biology; Internal medicine; Medicine; Chemotherapy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009637311,0.0001998603,0.0002256186,0.00003482561,0.0002476546,0.00001942206,0.0004884088,0.00007452949,0.001880967],"category_scores_gemma":[0.0000593611,0.0002375437,0.0001262851,0.0003205135,0.0000870291,0.00004612765,0.0002331477,0.0003233083,0.00001463261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272259,"about_ca_system_score_gemma":0.00003896695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001457243,"about_ca_topic_score_gemma":1.768426e-8,"domain_scores_codex":[0.9986526,0.000007735142,0.0003300194,0.0003976381,0.0003131771,0.0002987823],"domain_scores_gemma":[0.9990532,0.0001112684,0.0001567164,0.0005239319,0.00004930565,0.0001056208],"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":[0.00001554032,0.0001069998,0.0015395,0.0002022239,0.00004199135,0.000002547524,0.0001212023,0.00003722527,0.9950896,0.00001767832,0.002311432,0.0005140481],"study_design_scores_gemma":[0.0002875844,0.000008888417,0.00001590836,0.00002008667,0.00002122599,0.000008626864,0.001518942,0.00003282608,0.9780918,0.0001073425,0.01965322,0.0002336023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734164,0.001187833,0.0001018735,0.0001772552,0.00005342251,0.00004696512,0.0002535135,0.0001344949,0.02462825],"genre_scores_gemma":[0.9921241,0.0000278299,0.0005727031,0.00001678725,0.0001081741,0.0001512435,0.0001656118,0.00003252879,0.006801031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0187077,"threshold_uncertainty_score":0.9990314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059579854787824,"score_gpt":0.2221106120132878,"score_spread":0.2115148134654095,"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."}}