{"id":"W4214744163","doi":"10.1039/d2sc00595f","title":"Polymeric dipicolylamine based mass tags for mass cytometry","year":2022,"lang":"en","type":"article","venue":"Chemical Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fluidigm (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mass cytometry; Chemistry; Rhenium; Conjugated system; Chelation; Polymer; Reagent; Metal; Click chemistry; Mass spectrometry; Metal ions in aqueous solution; Inductively coupled plasma mass spectrometry; Combinatorial chemistry; Polymer chemistry; Inorganic chemistry; Organic chemistry; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.0003005247,0.0001135126,0.0001159778,0.00007652315,0.000273436,0.00002473424,0.0004524446,0.00003783017,0.000009876269],"category_scores_gemma":[0.0001716207,0.000102051,0.0001005869,0.000727682,0.0003723744,0.000004067037,0.0001616792,0.00008340238,5.75323e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006131226,"about_ca_system_score_gemma":0.0001001199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002237459,"about_ca_topic_score_gemma":1.976675e-7,"domain_scores_codex":[0.9987397,0.00001400819,0.0001391419,0.0004909448,0.0002873867,0.0003287724],"domain_scores_gemma":[0.9994305,0.00001929159,0.00006963403,0.000312648,0.00006802483,0.00009990724],"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":[0.00003572959,0.00003319067,0.0002282566,0.00000399145,0.000004064252,8.309564e-7,0.00000125758,0.000007383579,0.9970957,0.00002136808,0.0003609047,0.002207304],"study_design_scores_gemma":[0.0001786658,0.0001291967,0.00003716651,0.000001799573,0.000009659079,0.000003775616,0.00001953888,0.001118329,0.9871569,0.0001130006,0.01106751,0.0001645122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277516,0.0002913534,0.1693322,0.0009219467,0.0001702318,0.0003307744,0.0001026681,0.0001045681,0.0009946908],"genre_scores_gemma":[0.9647647,0.000004347025,0.03393581,0.0007816514,0.00009300478,0.00005191468,0.00007319487,0.00001007033,0.0002853712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1370131,"threshold_uncertainty_score":0.4161518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008358338249470682,"score_gpt":0.2747208839937337,"score_spread":0.266362545744263,"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."}}