{"id":"W1838436673","doi":"10.1126/science.308.5730.1862","title":"The Ins and Outs of Exosomes","year":2005,"lang":"en","type":"article","venue":"Science","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microvesicles; Computational biology; Biology; Genetics; microRNA","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":[0.0002037263,0.0000282016,0.0000218082,0.000009411619,0.00009429816,0.00001489566,0.000201864,0.00001283398,0.000002547675],"category_scores_gemma":[0.0001164691,0.00001926274,0.00001110578,0.0000620907,0.000673478,0.000003160707,0.0001066796,0.00001556928,0.000003558968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002644359,"about_ca_system_score_gemma":0.00005550633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.811255e-7,"about_ca_topic_score_gemma":0.00000711332,"domain_scores_codex":[0.999642,0.000007327577,0.00005312545,0.0001134953,0.00008993893,0.00009409548],"domain_scores_gemma":[0.9997108,0.000005750698,0.00002229656,0.0001899853,0.00003020632,0.00004094696],"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":[0.000003731296,0.000008628377,0.002112894,0.000001391517,0.000001062463,1.514655e-7,0.00002862199,0.000005975584,0.9810748,0.0004226247,0.0001266869,0.01621347],"study_design_scores_gemma":[0.0000829624,0.00003492857,0.02245635,0.000002371224,0.000002029515,0.000002560185,0.00005652291,0.0001059123,0.9368777,0.0002263866,0.04010707,0.000045159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952993,0.002658538,0.00008040598,0.0002602818,0.00003350439,0.00003163538,0.000001497814,0.000001953549,0.001632846],"genre_scores_gemma":[0.9985996,0.00009642274,0.0005504158,0.00006610535,0.00003733678,0.000001315999,3.787069e-7,0.00000181177,0.0006466279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04419701,"threshold_uncertainty_score":0.2481458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003723794382997383,"score_gpt":0.2476724938912175,"score_spread":0.2439486995082201,"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."}}