{"id":"W2892966878","doi":"10.1002/cyto.a.23605","title":"Methodology for evaluating and comparing flow cytometers: A multisite study of 23 instruments","year":2018,"lang":"en","type":"letter","venue":"Cytometry Part A","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Terry Fox Research Institute; BC Cancer Agency","funders":"NIH Blueprint for Neuroscience Research; National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Computer science; Medical physics; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008654149,0.0004312634,0.001046477,0.0008686009,0.00009896114,0.00004815788,0.0003567363,0.0007493978,0.00001134237],"category_scores_gemma":[0.0004313945,0.0004115944,0.0001077177,0.000480256,0.0001871199,0.00006861227,0.0002867142,0.0007002573,0.00001156905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008202241,"about_ca_system_score_gemma":0.00001263886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001609604,"about_ca_topic_score_gemma":0.000005820819,"domain_scores_codex":[0.9979163,0.0001525109,0.0006206001,0.0005206685,0.0002770073,0.0005128458],"domain_scores_gemma":[0.9986132,0.0004636981,0.0001932275,0.0005717567,0.0001208539,0.0000372133],"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":[0.0001054646,0.0001385808,0.01952446,0.002421393,0.001759222,0.00005365973,0.001753323,0.00005781428,0.04356989,0.000001156723,0.8874251,0.04318997],"study_design_scores_gemma":[0.02017934,0.0118114,0.00642358,0.003619076,0.004038357,0.0004375618,0.005839612,0.219002,0.1714731,0.0007643914,0.5497776,0.006633913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864825,0.0007861414,0.009016544,0.0008577814,0.00107807,0.001099383,0.00007639072,0.0005461437,0.00005701735],"genre_scores_gemma":[0.8273963,0.0002025025,0.1639308,0.005739476,0.001733073,0.0002063426,0.0002935522,0.00025332,0.0002446343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3376474,"threshold_uncertainty_score":0.9998336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1888821915838403,"score_gpt":0.351993550872736,"score_spread":0.1631113592888958,"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."}}