{"id":"W4411569420","doi":"10.1101/2025.06.18.660234","title":"Enriching for Extracellular Vesicles from Human Bone","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Research in Immunology and Cancer; Queen's University","funders":"","keywords":"Extracellular vesicles; Extracellular; Vesicle; Chemistry; Biophysics; Computer science; Cell biology; Biology; Biochemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002960336,0.0003527929,0.000285105,0.0005357305,0.0002443859,0.0004825529,0.0001997779,0.0003781183,0.001521178],"category_scores_gemma":[0.000312203,0.0001590866,0.0002706239,0.000210159,0.000160721,0.0001840252,0.000606108,0.0003446192,0.001353119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139958,"about_ca_system_score_gemma":0.0002940928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008353003,"about_ca_topic_score_gemma":0.001266598,"domain_scores_codex":[0.9998362,0.00002414559,0.00001154083,0.00003902902,0.00005227235,0.0000366904],"domain_scores_gemma":[0.9999177,0.00002203865,0.000008869492,0.0000114661,0.00002626739,0.0000137346],"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":[0.00006015184,0.00001080795,0.0004156328,0.00006787419,0.000007394256,0.0001184917,0.00003417436,0.0001066037,0.9941028,0.0002078601,0.0002326253,0.00463558],"study_design_scores_gemma":[0.00002571611,0.0001234632,0.003491907,0.00004775915,0.00003735974,0.0008773095,0.00007054245,0.00170244,0.971783,0.0002378083,0.02159287,0.000009923307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683549,0.009103665,0.1047803,0.0005757283,0.0002413203,0.0009295245,0.003270575,0.0004751107,0.01226883],"genre_scores_gemma":[0.8982464,0.00463011,0.07609981,0.0004177665,0.00007216716,0.0004417226,0.005194473,0.0002901447,0.01460748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001521178,"threshold_uncertainty_score":0.005088806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188853264921432,"score_gpt":0.2413471326196435,"score_spread":0.2294585999704291,"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."}}