{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001561858,0.0003792204,0.0002602309,0.0004008796,0.0002297105,0.0008782876,0.0004687043,0.0006652657,0.0006656036],"category_scores_gemma":[0.001192789,0.0002215422,0.0002340276,0.0002188242,0.0005937984,0.0004038666,0.0003782544,0.001005317,0.0003931623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007101988,"about_ca_system_score_gemma":0.0002383728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000303756,"about_ca_topic_score_gemma":0.0003567249,"domain_scores_codex":[0.9992802,0.0002839266,0.00006275738,0.000122386,0.0002015412,0.00004923037],"domain_scores_gemma":[0.9994044,0.0002447648,0.00009499076,0.0001222314,0.00009609673,0.00003750176],"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":[0.00005722842,0.00001854272,0.0001272844,0.00002901799,0.000003630494,0.00002587232,0.00003413109,0.0002424772,0.9966234,0.001240607,0.00008818417,0.00150956],"study_design_scores_gemma":[0.000006226133,0.00004072556,0.000133164,0.000004076789,0.000002767645,0.00003238584,0.00000616384,0.001248522,0.9965198,0.0001370708,0.001866084,0.000003103609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7855534,0.002711762,0.2053483,0.0004239769,0.0002695907,0.0003328506,0.0006669451,0.0008732349,0.00382002],"genre_scores_gemma":[0.9030212,0.0008767199,0.09142339,0.0002266517,0.00002664863,0.0002299581,0.0007365795,0.0002046046,0.003254178],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001561858,"threshold_uncertainty_score":0.008260012,"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."}}