{"id":"W4307234424","doi":"10.1002/jev2.12270","title":"EV‐ADD, a database for EV‐associated DNA in human liquid biopsy samples","year":2022,"lang":"en","type":"article","venue":"Journal of Extracellular Vesicles","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Database; Context (archaeology); DNA; Extracellular vesicles; Computational biology; Nucleic acid; Biology; Computer science; Genetics; Cell biology","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":[0.005229645,0.001819323,0.002213414,0.01925626,0.0009472142,0.003298931,0.002511405,0.002753255,0.01870229],"category_scores_gemma":[0.02343711,0.0008466976,0.001216768,0.009806867,0.0006091064,0.002479634,0.003360299,0.001137065,0.01955799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212937,"about_ca_system_score_gemma":0.004529094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003355326,"about_ca_topic_score_gemma":0.004005508,"domain_scores_codex":[0.9950336,0.0005707545,0.001915406,0.001052934,0.001207282,0.0002199454],"domain_scores_gemma":[0.9847836,0.00579878,0.003101141,0.002032937,0.003535995,0.0007476784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004260017,0.0005637559,0.05224057,0.05517972,0.00094363,0.004976213,0.001779194,0.004735137,0.0512456,0.008616153,0.5071557,0.3083043],"study_design_scores_gemma":[0.0002841321,0.0002754866,0.03646982,0.003184963,0.0004082833,0.002425731,0.0005745455,0.003206568,0.02228329,0.003830621,0.9268386,0.0002178917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007280466,0.00374172,0.01041965,0.0002812168,0.0001342206,0.0005528343,0.964519,0.009130449,0.003940389],"genre_scores_gemma":[0.008916855,0.00168461,0.02373839,0.0002998045,0.00004345672,0.0009383389,0.9623898,0.0008308332,0.001157951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01925626,"threshold_uncertainty_score":0.06256545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318187992057899,"score_gpt":0.2810068035046649,"score_spread":0.2578249235840859,"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."}}