{"id":"W4303184445","doi":"10.1021/acsmeasuresciau.2c00038","title":"Development of Multiplexed Bead-Based Immunoassays for Profiling Soluble Cytokines and CD163 Using Mass Cytometry","year":2022,"lang":"en","type":"article","venue":"ACS Measurement Science Au","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fluidigm (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiplex; Mass cytometry; Analyte; Immunoassay; Cytokine; Peripheral blood mononuclear cell; Chromatography; Cytometry; Chemistry; Flow cytometry; Molecular biology; Immunology; Medicine; Biology; Antibody; In vitro; Bioinformatics; Biochemistry","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":[0.001487092,0.0006911936,0.0007027013,0.0008265104,0.0002153423,0.0007497969,0.0005884691,0.0009416788,0.0004253207],"category_scores_gemma":[0.001153392,0.000424195,0.0003733693,0.000390286,0.0003496129,0.0005678783,0.0004869303,0.0009945267,0.0003320416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004887774,"about_ca_system_score_gemma":0.0003392068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002405873,"about_ca_topic_score_gemma":0.0005221253,"domain_scores_codex":[0.9987973,0.0002467341,0.000103907,0.0003295551,0.0004111225,0.0001113479],"domain_scores_gemma":[0.9994349,0.00019682,0.0001117271,0.0000523685,0.0001355256,0.00006856272],"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":[0.0001285476,0.00009741732,0.0007445125,0.0000757965,0.0000208882,0.00005454219,0.00003873996,0.0006704719,0.9888822,0.0003494205,0.0001189507,0.00881859],"study_design_scores_gemma":[0.00002214098,0.0002459906,0.0009118606,0.00000854371,0.00001926613,0.0001257362,0.00001846913,0.01418414,0.9826378,0.0001961161,0.001607986,0.0000219602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5249153,0.00425792,0.4660282,0.0003952361,0.000322379,0.0008195682,0.0006754564,0.001075266,0.001510627],"genre_scores_gemma":[0.5318576,0.001622362,0.4622936,0.000331529,0.0001172016,0.0008865754,0.0005500873,0.00003533086,0.002305646],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001487092,"threshold_uncertainty_score":0.007864594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07062369513825908,"score_gpt":0.318341842487774,"score_spread":0.2477181473495149,"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."}}