{"id":"W4313382758","doi":"10.4049/jimmunol.202.supp.131.2","title":"A robust human immunophenotyping workflow using CyTOF technology coupled with Maxpar Pathsetter, an automated data analysis software","year":2019,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fluidigm (Canada)","funders":"","keywords":"Mass cytometry; Software; Computer science; Workflow; Computational biology; Data mining; Biology; Phenotype; Operating system; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000601402,0.0002302113,0.0004911068,0.0002954462,0.0001995037,0.00003422849,0.001409344,0.0002843499,0.00004145611],"category_scores_gemma":[0.0000439088,0.0001577041,0.0001034816,0.0005255782,0.0002584931,0.00002677748,0.0002484829,0.0004127241,0.000003940652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003387655,"about_ca_system_score_gemma":0.0001339469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009673114,"about_ca_topic_score_gemma":0.0001013408,"domain_scores_codex":[0.9984922,0.0002102447,0.0005146379,0.000287192,0.0001463879,0.0003493704],"domain_scores_gemma":[0.9977697,0.00002906082,0.0005312158,0.001379515,0.0002495613,0.00004097632],"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":[0.0008124391,0.0001331353,0.01299607,0.000009407497,0.002229539,0.00001580047,0.00008616479,0.01512808,0.9678096,0.000008743583,0.00001872166,0.0007523026],"study_design_scores_gemma":[0.03591986,0.02637361,0.1087025,0.001093447,0.01975784,0.009814476,0.007441373,0.352064,0.4285366,0.001051408,0.003825222,0.005419621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718177,0.002145274,0.02553869,0.0001076467,0.0001883467,0.0001358549,0.00001637687,0.00004219727,0.00000795034],"genre_scores_gemma":[0.9881041,0.0001641866,0.01130164,0.0001271297,0.00009125491,0.000001005245,0.0001425524,0.00003879708,0.00002935029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.539273,"threshold_uncertainty_score":0.6430987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986862930207132,"score_gpt":0.2637338964960931,"score_spread":0.2338652671940218,"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."}}