{"id":"W4394409948","doi":"10.6084/m9.figshare.19418155","title":"Additional file 11 of Sorting and packaging of RNA into extracellular vesicles shape intracellular transcript levels","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Intracellular; Extracellular vesicles; Sorting; Extracellular; RNA; Cell biology; Chemistry; Vesicle; Biology; Biochemistry; Computer science; Gene; Membrane","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001806908,0.001709164,0.002312455,0.00272767,0.0008442763,0.002813402,0.002238886,0.002216097,0.5101485],"category_scores_gemma":[0.01672816,0.0008704209,0.001644803,0.004565823,0.0004062785,0.001371412,0.001496821,0.001561615,0.1263811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114943,"about_ca_system_score_gemma":0.002176085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007075461,"about_ca_topic_score_gemma":0.01319834,"domain_scores_codex":[0.9988417,0.0001861421,0.0001803181,0.0003970322,0.0002239853,0.0001708848],"domain_scores_gemma":[0.9883145,0.008645205,0.0006894231,0.0009241885,0.001025413,0.0004013335],"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":[0.0003546853,0.00006683783,0.002830557,0.005702778,0.0001731038,0.00007312702,0.00005131903,0.0007252962,0.0003730864,0.0006318783,0.9844562,0.004561324],"study_design_scores_gemma":[0.004852729,0.0001953808,0.02436231,0.00299963,0.0004391727,0.0003506731,0.0001854479,0.001325096,0.001369334,0.007953122,0.9558241,0.0001428897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004899037,0.00001872175,0.0000408981,0.00002148455,0.000005295563,0.000007496125,0.9996362,0.00009523559,0.0001257342],"genre_scores_gemma":[0.001124959,0.00006189368,0.0005385744,0.0001312593,0.00001235571,0.0002665063,0.9967121,0.0001877814,0.0009646152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5101485,"threshold_uncertainty_score":0.6987137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947032255958116,"score_gpt":0.2428119111041047,"score_spread":0.2233415885445236,"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."}}