{"id":"W4252208164","doi":"10.1515/iupac.83.0370","title":"Flow Cytometry Assay","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Process (computing); Computer science; Multidisciplinary approach; Data science; Management science; Biology; Sociology; Engineering; Mathematics; Linguistics","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":[0.003126229,0.001983971,0.002174408,0.005315911,0.001300331,0.003849634,0.00325692,0.002201504,0.05005575],"category_scores_gemma":[0.01267277,0.0007950273,0.001560623,0.007917034,0.0005311904,0.002015288,0.00216711,0.002802079,0.07677671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226495,"about_ca_system_score_gemma":0.003131206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037054,"about_ca_topic_score_gemma":0.01781786,"domain_scores_codex":[0.996408,0.0004006779,0.0006474212,0.001129117,0.00109766,0.0003170669],"domain_scores_gemma":[0.9934906,0.001956532,0.0009647121,0.001511168,0.001785299,0.0002917773],"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":[0.0002411146,0.00005881294,0.004471932,0.002355995,0.00008152909,0.00005010375,0.00004609141,0.0005153962,0.0008196314,0.001375777,0.9777114,0.01227229],"study_design_scores_gemma":[0.0001775301,0.00003625814,0.009604703,0.000567653,0.0000755263,0.0001358652,0.00007209169,0.0004199224,0.001534676,0.002676757,0.9846365,0.00006246893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003161734,0.0002244915,0.000506569,0.00009331069,0.00004680453,0.00006657946,0.9960516,0.0007902356,0.001904373],"genre_scores_gemma":[0.000753094,0.0002573348,0.001155269,0.0001708304,0.00001630436,0.0004273012,0.9958606,0.0001436707,0.001215698],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05005575,"threshold_uncertainty_score":0.1674532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107954497079782,"score_gpt":0.3486668325678575,"score_spread":0.3378713828598793,"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."}}