{"id":"W2991556904","doi":"10.1071/rdv32n2ab79","title":"79 MicroRNAs of extracellular vesicles secreted by embryos as an early biomarker of competence","year":2019,"lang":"en","type":"article","venue":"Reproduction Fertility and Development","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blastocyst; Microvesicles; Embryo; Nanoparticle tracking analysis; CD63; Cell biology; Biology; Extracellular vesicle; Embryonic stem cell; Embryogenesis; Exosome; Andrology; microRNA; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004499189,0.0001435915,0.0001834503,0.00004097814,0.00004804805,0.00001074033,0.0001358815,0.0001076686,0.00005513684],"category_scores_gemma":[0.00007468525,0.0001463733,0.00004304318,0.00009156735,0.0001562758,0.00001492339,0.00009273251,0.00005605877,0.00001086924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000129144,"about_ca_system_score_gemma":0.0001206933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003305788,"about_ca_topic_score_gemma":0.000002348062,"domain_scores_codex":[0.9985244,0.00009472181,0.0004172722,0.0006266352,0.0001805159,0.0001564053],"domain_scores_gemma":[0.9989226,0.000007119002,0.0001759751,0.0006405437,0.0001555827,0.00009811602],"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":[0.0005103074,0.0002072168,0.03079054,0.0001199005,0.00005168567,6.826931e-7,0.0001852242,0.000003913705,0.9624587,0.00001379095,0.0000517161,0.00560632],"study_design_scores_gemma":[0.0003044465,0.0001247506,0.2146804,0.00001768995,0.000008677717,0.000003948669,0.0001179274,0.00001377876,0.7809795,0.00004363567,0.00357466,0.0001305697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950489,0.003969566,0.0004357689,0.0000317212,0.000101119,0.0002835442,0.00001203001,0.00001260784,0.0001047189],"genre_scores_gemma":[0.9968477,0.00004572411,0.002141467,0.00001505125,0.00001253469,0.000007540098,0.0001207817,0.00001358519,0.0007955561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1838899,"threshold_uncertainty_score":0.5968928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158945656774229,"score_gpt":0.2386104182600765,"score_spread":0.2270209616923342,"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."}}