{"id":"W2936603859","doi":"10.1101/614461","title":"Engineered Retroviruses as Fluorescent Biological Reference Particles for Small Particle Flow Cytometry","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; International Society for Advancement of Cytometry; University of Ottawa","keywords":"Particle (ecology); Fluorescence; Flow cytometry; Nanotechnology; Virus-like particle; Particle size; Biophysics; Dispersity; Materials science; Chemistry; Biology; Physics; Optics; Molecular biology; Biochemistry","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005302695,0.0005426163,0.0006942464,0.0001696236,0.0001955418,0.0001106126,0.0006097349,0.0009042671,0.0003090262],"category_scores_gemma":[0.0008225844,0.0004603846,0.0002247658,0.0002646289,0.0002227306,0.0000636013,0.0005006962,0.0007857646,0.003709839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244038,"about_ca_system_score_gemma":0.0005530805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006894069,"about_ca_topic_score_gemma":0.000003904848,"domain_scores_codex":[0.9969561,0.0002744769,0.0005034301,0.001063791,0.0001042964,0.001097902],"domain_scores_gemma":[0.9977463,0.0003349118,0.0001993673,0.001174537,0.0003617059,0.0001831067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004235652,0.0004612728,0.02584547,0.0001870855,0.0005841288,0.00003175475,0.000009927683,0.00004281666,0.9708436,0.0005562237,0.0009853349,0.00002888947],"study_design_scores_gemma":[0.001864041,0.0005817138,0.07831019,0.0001510212,0.0001056186,5.981154e-8,0.000005330283,0.0001043523,0.902736,0.000004944458,0.01556432,0.0005723992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891309,0.005231629,0.00134202,0.0002072202,0.0008553505,0.001460786,0.001382518,0.0003829822,0.000006656682],"genre_scores_gemma":[0.9955261,0.0005769301,0.002884716,0.000116851,0.0001112037,0.0006631679,0.00001306552,0.00007301977,0.00003488499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06810752,"threshold_uncertainty_score":0.9997848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420651817485161,"score_gpt":0.2580055027580954,"score_spread":0.2137989845832438,"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."}}