{"id":"W2012084728","doi":"10.1002/cyto.a.20825","title":"Data File Standard for Flow Cytometry, version FCS 3.1","year":2009,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Biological and Environmental Research; Office of Science; National Institutes of Health; Michael Smith Health Research BC; National Institute of Biomedical Imaging and Bioengineering; U.S. Department of Energy","keywords":"Computer science; File format; Data file; Software; Database; Operating system","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":[0.0002652938,0.0001982168,0.0002239542,0.0001149443,0.0001518065,0.00005563987,0.0005571738,0.0002079933,0.0003629079],"category_scores_gemma":[0.0002745835,0.000194701,0.0001161463,0.0003052176,0.00005091259,0.00001191015,0.0001106033,0.000101098,0.00004163319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002367743,"about_ca_system_score_gemma":0.00008135478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002512216,"about_ca_topic_score_gemma":0.000007266834,"domain_scores_codex":[0.9986206,0.00002741047,0.0002307992,0.0005574785,0.0002012837,0.0003624381],"domain_scores_gemma":[0.9987567,0.00003783172,0.00006436792,0.0009001259,0.000103242,0.0001377307],"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":[0.0007792096,0.0001849047,0.0009904576,0.00003798757,0.00007130969,0.000005383209,0.00001761354,0.00003939743,0.3270078,0.00001025028,0.6477367,0.02311899],"study_design_scores_gemma":[0.001300061,0.0009762413,0.0007981559,0.00002473406,0.0000383882,0.000008126295,0.00002542847,0.001166612,0.09528264,0.00004863779,0.900031,0.0002999485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6795122,0.004213654,0.2374018,0.001481775,0.003448743,0.00185602,0.06217264,0.0002866723,0.009626523],"genre_scores_gemma":[0.9610521,0.0002563065,0.01552737,0.001083157,0.001285881,0.00001966423,0.01873027,0.00004746806,0.001997793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2815399,"threshold_uncertainty_score":0.7939678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017448852698619,"score_gpt":0.2942276438765676,"score_spread":0.2540531553495814,"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."}}