{"id":"W4242849050","doi":"10.3410/f.10641956.793488310","title":"Faculty Opinions recommendation of Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.","year":2013,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; European Commission; Ontario Genomics Institute; Ontario Genomics; Genome Canada; Damon Runyon Cancer Research Foundation; California Institute for Regenerative Medicine; Burroughs Wellcome Fund","keywords":"Mass cytometry; Flow cytometry; Immune system; Cell; Population; Biology; Cell signaling; Haematopoiesis; Signal transduction; Phenotype; Immunology; Cell biology; Stem cell; Medicine; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003148291,0.001444896,0.001023432,0.003150777,0.0006558926,0.002218251,0.002179107,0.001554479,0.03187408],"category_scores_gemma":[0.01325045,0.0004315953,0.001170406,0.004136792,0.0003666754,0.0008881235,0.001642785,0.001378258,0.03495133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390798,"about_ca_system_score_gemma":0.003968212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01404011,"about_ca_topic_score_gemma":0.03064165,"domain_scores_codex":[0.997862,0.0003613942,0.0002186255,0.0007027108,0.000666442,0.0001888213],"domain_scores_gemma":[0.9946048,0.001540133,0.0006829591,0.001289329,0.001423364,0.0004594632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002747963,0.00007287045,0.01033952,0.001512321,0.0002751086,0.00006353965,0.00004543621,0.001147924,0.001866396,0.001205885,0.9620829,0.0211133],"study_design_scores_gemma":[0.0002791929,0.00003792773,0.01883722,0.0002950939,0.0001434783,0.00008725263,0.00007283198,0.002236486,0.003202314,0.002223112,0.9725404,0.00004474809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000912363,0.0001811647,0.0008554757,0.0002515647,0.00005998291,0.00004487135,0.9946377,0.0009469367,0.002109948],"genre_scores_gemma":[0.002299581,0.0001180551,0.001992272,0.0001421993,0.0000180442,0.0001415421,0.9940872,0.0001045379,0.0010965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03187408,"threshold_uncertainty_score":0.1066294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611950625426002,"score_gpt":0.3231005072805574,"score_spread":0.2969810010262974,"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."}}