{"id":"W2024626836","doi":"10.1126/science.1198704","title":"Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum","year":2011,"lang":"en","type":"article","venue":"Science","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2359,"is_retracted":false,"has_abstract":true,"ca_institutions":"Integrity Testing Laboratory (Canada); University of Toronto","funders":"U.S. National Library of Medicine; National Institute of Allergy and Infectious Diseases; National Eye Institute; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; U.S. Public Health Service","keywords":"Mass cytometry; Immune system; Haematopoiesis; Flow cytometry; Hematopoietic cell; Immunology; Biology; Cytometry; Cell biology; Drug; Computational biology; Stem cell; Pharmacology; Genetics; Phenotype","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":[0.0002128048,0.0001324624,0.0001930813,0.0003887189,0.0001536703,0.0002626477,0.0001462461,0.0002275537,0.000721328],"category_scores_gemma":[0.0002015694,0.00008644473,0.00009335455,0.0002399736,0.0002296442,0.0001393987,0.0001464049,0.0002966207,0.0001930093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164821,"about_ca_system_score_gemma":0.0001125259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002750045,"about_ca_topic_score_gemma":0.0005800666,"domain_scores_codex":[0.9999032,0.00001604917,0.000005732983,0.00003773294,0.00002698962,0.00001038416],"domain_scores_gemma":[0.9999045,0.00004061674,0.00001338864,0.00001247047,0.00001633068,0.00001276929],"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":[0.00004730183,0.000008662795,0.0008534251,0.00001324361,0.000003516916,0.00001758669,0.00001956911,0.0002052773,0.9963276,0.0001761673,0.00003369862,0.002293922],"study_design_scores_gemma":[0.00001276584,0.0001648022,0.01242392,0.000003662683,0.00001954095,0.0001563203,0.00004958795,0.00872161,0.9766138,0.000677328,0.001149146,0.000007330654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345064,0.0009991269,0.06180634,0.0001269124,0.00001809316,0.00006327215,0.0008085773,0.000222797,0.001448436],"genre_scores_gemma":[0.9637095,0.0006682773,0.03379947,0.0001105486,0.00001572834,0.0001210513,0.0005054238,0.000021564,0.001048375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000721328,"threshold_uncertainty_score":0.002413094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238680476216694,"score_gpt":0.2579565679617537,"score_spread":0.2340885203400843,"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."}}