{"id":"W2131980693","doi":"10.1002/anie.201405233","title":"Identification of Hypoxic Cells Using an Organotellurium Tag Compatible with Mass Cytometry","year":2014,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Mass cytometry; Reagent; Chemistry; Flow cytometry; Combinatorial chemistry; Chelation; Biophysics; Computational biology; Molecular biology; Biochemistry; 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":[0.0002855264,0.0003189748,0.0002625555,0.0004707914,0.000248638,0.0004848673,0.0003701046,0.000619982,0.0009640009],"category_scores_gemma":[0.0003496894,0.0001803254,0.0001715609,0.0003142369,0.00031928,0.000380107,0.0004533,0.0004158666,0.0004361545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252693,"about_ca_system_score_gemma":0.0001700343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003346166,"about_ca_topic_score_gemma":0.0007245022,"domain_scores_codex":[0.9997734,0.00003753897,0.00001637393,0.00007492756,0.00006989227,0.00002795138],"domain_scores_gemma":[0.9998222,0.00005522584,0.00005212795,0.00001713887,0.00003240812,0.00002091803],"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":[0.00002032739,0.000002412996,0.0001053189,0.00001582246,0.000001477905,0.00001506068,0.0000133139,0.00005516148,0.9983351,0.000127259,0.0000168972,0.001291903],"study_design_scores_gemma":[0.000001842106,0.00003559016,0.0005126321,0.000002631714,0.000004218924,0.00010837,0.00001350287,0.001538679,0.9967101,0.00007230502,0.0009964281,0.000003593019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6641601,0.001721528,0.3282363,0.0002094206,0.00005231254,0.0001683965,0.0005541662,0.0007077775,0.004189949],"genre_scores_gemma":[0.8229339,0.00173589,0.1694267,0.0001393269,0.00002449101,0.0002415966,0.0005455976,0.00006441638,0.00488812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009640009,"threshold_uncertainty_score":0.003224969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132581852892165,"score_gpt":0.225205860812573,"score_spread":0.2138800422836513,"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."}}