{"id":"W3118996078","doi":"10.3389/fvets.2020.620809","title":"Exploiting Microfluidics for Extracellular Vesicle Isolation and Characterization: Potential Use for Standardized Embryo Quality Assessment","year":2021,"lang":"en","type":"review","venue":"Frontiers in Veterinary Science","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Zoo; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Bundesministerium für Bildung und Forschung; Alexander von Humboldt-Stiftung","keywords":"Embryonic stem cell; Extracellular vesicles; Microfluidics; Embryo quality; Biology; Extracellular vesicle; Computer science; Computational biology; Embryo; Nanotechnology; Cell biology; Embryogenesis; Microvesicles; Genetics","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":[0.002796381,0.0008912362,0.0009019481,0.001364786,0.0003419114,0.001396221,0.0007131892,0.001265171,0.001167959],"category_scores_gemma":[0.002768679,0.0004720658,0.0007508415,0.0006324976,0.0007093766,0.001202112,0.001179142,0.00102159,0.0006195236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006922448,"about_ca_system_score_gemma":0.0008291838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006460536,"about_ca_topic_score_gemma":0.0009903621,"domain_scores_codex":[0.9987472,0.0002904598,0.0001322451,0.0002855157,0.0004596046,0.0000849849],"domain_scores_gemma":[0.9984592,0.0007323534,0.0002588623,0.0001232965,0.0003657422,0.00006046115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001645589,0.00005862401,0.001904027,0.00322857,0.0001257253,0.0003212348,0.0001964163,0.001609845,0.85057,0.005053737,0.003364762,0.1334024],"study_design_scores_gemma":[0.00004869929,0.0004192939,0.005526065,0.0005986114,0.0002463669,0.0008685454,0.0001350048,0.0113837,0.899801,0.003090561,0.07769069,0.0001913626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1028036,0.20918,0.6640247,0.003439202,0.001959428,0.001056339,0.003371373,0.00295416,0.01121131],"genre_scores_gemma":[0.3148139,0.1544681,0.5164336,0.002128628,0.0007212499,0.001634355,0.003045967,0.0004677231,0.006286353],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002796381,"threshold_uncertainty_score":0.01478887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06456936127155001,"score_gpt":0.3675976800139731,"score_spread":0.3030283187424231,"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."}}