{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1062837,0.001644175,0.001758428,0.004028056,0.001983411,0.004051216,0.003114893,0.001348909,0.001737164],"category_scores_gemma":[0.1720845,0.001046806,0.00165276,0.004208812,0.002067634,0.002195887,0.005838344,0.002173073,0.0009745205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825366,"about_ca_system_score_gemma":0.002877061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441163,"about_ca_topic_score_gemma":0.002275849,"domain_scores_codex":[0.8329905,0.0850831,0.01834715,0.01820315,0.04342859,0.001947613],"domain_scores_gemma":[0.7936797,0.07914967,0.01902368,0.05421571,0.05236073,0.001570538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001379344,0.001619944,0.1880747,0.001573748,0.00171724,0.0005852834,0.00780362,0.01803113,0.1363624,0.007411886,0.004546518,0.6308942],"study_design_scores_gemma":[0.0004857399,0.009902718,0.2680146,0.0009702887,0.001832944,0.003029885,0.005548508,0.1835128,0.4293443,0.01859714,0.0775383,0.001222878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1513116,0.000585057,0.8384297,0.0002355528,0.0001326179,0.004182135,0.0005871861,0.001899417,0.002636792],"genre_scores_gemma":[0.196946,0.0001595069,0.7953302,0.0001938355,0.00004658653,0.005432397,0.0006244635,0.0006257882,0.0006413353],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1062837,"threshold_uncertainty_score":0.5620887,"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."}}