{"id":"W2986930146","doi":"10.1038/s41598-019-52366-4","title":"A Novel Semiconductor-Based Flow Cytometer with Enhanced Light-Scatter Sensitivity for the Analysis of Biological Nanoparticles","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"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","keywords":"Flow cytometry; Materials science; Photodiode; Particle (ecology); Optoelectronics; Biology; Molecular biology","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":[],"consensus_categories":[],"category_scores_codex":[0.000927798,0.0001322393,0.0002097869,0.00008780411,0.00009369758,0.00005470386,0.0001188701,0.00007870995,0.00004377531],"category_scores_gemma":[0.0001300053,0.00007910003,0.0002368198,0.0004449156,0.0002622127,0.000005887585,0.00006219067,0.00004069446,0.000003108658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009791002,"about_ca_system_score_gemma":0.00009880038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004112853,"about_ca_topic_score_gemma":0.0000275044,"domain_scores_codex":[0.9985482,0.00004825515,0.0002874834,0.0006679563,0.0002148644,0.0002332782],"domain_scores_gemma":[0.998337,0.00006401035,0.0002341963,0.001077784,0.0002209295,0.0000660815],"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":[0.00009480934,0.0001192679,0.009800641,0.00001320406,0.0002863543,0.000007263087,0.00003116816,0.002439242,0.986716,0.000002019925,0.0002674389,0.0002225809],"study_design_scores_gemma":[0.000220586,0.00008272596,0.004825939,0.000008121358,0.0002657958,0.00001230966,0.00003362908,0.0030195,0.9899312,0.00001725685,0.001449929,0.0001330427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833821,0.0001139587,0.0154752,0.0000933135,0.0004426026,0.0004225209,0.00002922837,0.00000993073,0.00003112684],"genre_scores_gemma":[0.9966906,6.38266e-7,0.002612283,0.00008665175,0.00003162306,0.0000347402,0.0001724212,0.00001167886,0.000359309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330854,"threshold_uncertainty_score":0.3225606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499233594822964,"score_gpt":0.2493220267634995,"score_spread":0.2343296908152699,"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."}}