{"id":"W4404707045","doi":"10.1016/j.bios.2024.116968","title":"Detection of brain metastases from blood using Brain nanoMET sensor: Extracellular vesicles as a dynamic marker for metastatic brain tumors","year":2024,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Toronto Metropolitan University","keywords":"Extracellular vesicles; Extracellular; Brain tumor; Pathology; Brain tissue; Microvesicles; Medicine; Extracellular fluid; Neuroscience; Cancer research; Chemistry; Biology; Cell biology; Biochemistry; Gene; microRNA","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":[0.0003241428,0.0003447639,0.0003202962,0.0002863693,0.000187849,0.0004900355,0.0004084347,0.001191287,0.0007953562],"category_scores_gemma":[0.0004007169,0.0001857732,0.0002248642,0.0002342468,0.0001912261,0.0005819486,0.0003368807,0.0005284202,0.0003525848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003703933,"about_ca_system_score_gemma":0.0002258737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005839769,"about_ca_topic_score_gemma":0.0008596543,"domain_scores_codex":[0.9998125,0.00003791676,0.00000974462,0.00005756868,0.0000479476,0.00003430064],"domain_scores_gemma":[0.9998991,0.00003503474,0.00001988865,0.000005795424,0.00002445836,0.00001568446],"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":[0.00006739094,0.00001298362,0.0002138863,0.00004553602,0.000005262783,0.00005793561,0.00002912624,0.00007684552,0.9972854,0.0001799923,0.00009292032,0.001932747],"study_design_scores_gemma":[0.000006256383,0.0000951469,0.0007337921,0.000005588377,0.000010398,0.0002557158,0.00002362314,0.002559216,0.9951352,0.00006503763,0.00110324,0.00000665334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235172,0.005807188,0.06397776,0.0008861541,0.0001751045,0.0001103715,0.0005022747,0.0002982674,0.004725616],"genre_scores_gemma":[0.9594934,0.001901105,0.03210026,0.0002826443,0.00002460833,0.00008673806,0.0003621632,0.00004660298,0.005702495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001191287,"threshold_uncertainty_score":0.002687454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001714616935042,"score_gpt":0.2663138321227817,"score_spread":0.2562966859534313,"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."}}