{"id":"W4318619584","doi":"10.1186/s12974-023-02708-x","title":"Plasma derived extracellular vesicle biomarkers of microglia activation in an experimental stroke model","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroinflammation","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Weston Brain Institute","keywords":"Microglia; Stroke (engine); Medicine; Receptor; Chemistry; In vivo; Immunology; Cell biology; Internal medicine; Pathology; Biology; Inflammation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004226031,0.0001683763,0.0002343821,0.0007714366,0.00008824044,0.00006750003,0.0002615035,0.00007099049,0.00002471038],"category_scores_gemma":[0.0003448437,0.0001730764,0.0001067086,0.0005660964,0.00004717955,0.001359115,0.00003882932,0.0002012266,0.00001864133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005930019,"about_ca_system_score_gemma":0.00008688333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.089006e-7,"about_ca_topic_score_gemma":0.000002440717,"domain_scores_codex":[0.9976439,0.0003163452,0.000977128,0.0002596471,0.0005891366,0.0002137984],"domain_scores_gemma":[0.9985455,0.0001483416,0.0008686197,0.000217641,0.0001139917,0.0001059248],"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":[0.0002457317,0.0001023658,0.00003832378,0.00001474081,0.00000230901,0.00004323998,0.0005152083,0.03343207,0.9640831,0.0007590677,0.00004417128,0.0007197197],"study_design_scores_gemma":[0.0009327696,0.0002324521,0.000450768,0.00001954908,0.000004717753,0.00003046585,0.000148059,0.2454586,0.7524497,0.0001655353,0.00001173575,0.00009565199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974443,0.000004214913,0.00157561,0.0003111664,0.0002814171,0.0002550921,0.00000543028,0.00005872271,0.00006406459],"genre_scores_gemma":[0.999048,0.00002438667,0.0006883421,0.00003772368,0.00006395764,0.0000053329,0.000004902157,0.00003169432,0.00009566508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2120266,"threshold_uncertainty_score":0.705785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05631901878623925,"score_gpt":0.2913554613398316,"score_spread":0.2350364425535924,"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."}}