{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002411235,0.0002580655,0.0001666771,0.0003022873,0.0001578408,0.0003747358,0.0002284581,0.0003503543,0.001739811],"category_scores_gemma":[0.000371212,0.0001134865,0.0001015462,0.0002741343,0.0002505353,0.0003873295,0.0002601061,0.0004722842,0.0004263432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002861744,"about_ca_system_score_gemma":0.0001717609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004188581,"about_ca_topic_score_gemma":0.000835851,"domain_scores_codex":[0.9998702,0.00002759436,0.000006796211,0.00003891335,0.00004183577,0.0000146333],"domain_scores_gemma":[0.9998135,0.0000778818,0.00004803039,0.00001786344,0.00002630348,0.00001640884],"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":[0.00001958253,0.000002288298,0.00004174664,0.000009813717,7.612738e-7,0.000008017228,0.000007032797,0.00006206371,0.9989109,0.00008978479,0.00001371613,0.0008343558],"study_design_scores_gemma":[0.000001703765,0.00002692514,0.0004090431,0.000002504705,0.000001924318,0.00003723263,0.000007868378,0.001679461,0.996956,0.00006057347,0.0008146964,0.000002159287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784792,0.001167656,0.1140458,0.0001833249,0.00003582855,0.0001378762,0.0005873979,0.0004113098,0.004951507],"genre_scores_gemma":[0.9207821,0.002440165,0.0701821,0.00008289002,0.00001615372,0.0002073908,0.0005238166,0.00007275681,0.005692535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001739811,"threshold_uncertainty_score":0.005820215,"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."}}