{"id":"W3010614308","doi":"10.3390/metabo10030088","title":"Analysis and Simulation of Glioblastoma Cell Lines-Derived Extracellular Vesicles Metabolome","year":2020,"lang":"en","type":"article","venue":"Metabolites","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Extracellular vesicles; Metabolome; Glioblastoma; Extracellular; Cell culture; Vesicle; Chemistry; Computational biology; Metabolomics; Cell biology; Biology; Cancer research; Bioinformatics; Biochemistry; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002316804,0.000609573,0.0005293821,0.0004284424,0.000401156,0.0005525739,0.0004503488,0.001108078,0.001580993],"category_scores_gemma":[0.0008555215,0.0002202619,0.001000521,0.0004661841,0.0002532602,0.0003105205,0.0003284678,0.0004414858,0.0001825797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006627028,"about_ca_system_score_gemma":0.0008090159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02306767,"about_ca_topic_score_gemma":0.008974972,"domain_scores_codex":[0.9999168,0.00001847691,0.000005377665,0.0000176911,0.00002251494,0.00001913793],"domain_scores_gemma":[0.9996694,0.0002083335,0.00002910269,0.0000146052,0.00006013247,0.00001839756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004979045,0.00002773911,0.001758627,0.00006027197,0.00001872052,0.00008226967,0.00001855239,0.9930425,0.002375261,0.000781788,0.0001985472,0.001586034],"study_design_scores_gemma":[0.000004818563,0.00001028741,0.0003907392,0.000003417036,0.000003862198,0.000008280311,0.00001048014,0.9982045,0.0008591869,0.0002220435,0.0002785164,0.000003821187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880239,0.0008439105,0.09333869,0.0005578852,0.0001220099,0.0001250523,0.004993841,0.0006812087,0.01131352],"genre_scores_gemma":[0.9750018,0.000416364,0.0202789,0.00006265842,0.00001107772,0.0001687628,0.00227503,0.00007260606,0.001712865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02306767,"threshold_uncertainty_score":0.04586685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009989103980621005,"score_gpt":0.2416249980184491,"score_spread":0.2316358940378281,"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."}}