{"id":"W4206300026","doi":"10.21203/rs.3.rs-1226021/v1","title":"Human peripheral monocytes capture elements of the state of microglial activation in the brain","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institutes of Health; Krembil Foundation; Canadian Institutes of Health Research; Translational Genomics Research Institute; Illinois Department of Public Health","keywords":"Microglia; Peripheral; Peripheral blood; State (computer science); Neuroscience; Monocyte; Chemistry; Computer science; Medicine; Immunology; Biology; Inflammation; Internal medicine","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":[0.001661651,0.0001587898,0.0001937735,0.0002748502,0.0003519257,0.00008801603,0.001216251,0.00006671991,0.000287718],"category_scores_gemma":[0.0009142652,0.0001087478,0.0001283483,0.0006148727,0.0001648405,0.00008402455,0.0009917147,0.001454436,0.000001847267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140131,"about_ca_system_score_gemma":0.0002365601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001361656,"about_ca_topic_score_gemma":0.00008309878,"domain_scores_codex":[0.9935569,0.003486487,0.0005163909,0.0004591745,0.00168694,0.0002941354],"domain_scores_gemma":[0.9983158,0.0004118916,0.0003318801,0.0007661835,0.000143054,0.00003117149],"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":[0.00003914595,0.000113876,0.0001801199,0.000169095,0.000002423529,0.000004918363,0.002620094,0.002785429,0.9907645,0.002411395,0.0005914781,0.0003175135],"study_design_scores_gemma":[0.0003474858,0.0001193461,0.00265588,0.00006528859,0.000001842048,0.000001479843,0.0004235145,0.0009193647,0.9908287,0.003737442,0.0008057193,0.00009392168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950951,0.00001123667,0.00003256985,0.00241676,0.000172215,0.001603073,0.0001732757,0.00001534621,0.0004804374],"genre_scores_gemma":[0.997924,0.0000205786,0.00002340403,0.0003714847,0.00004445153,0.0001861654,0.00002140872,0.00002327702,0.001385217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004758947,"threshold_uncertainty_score":0.6318883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014900514708912,"score_gpt":0.396100168157227,"score_spread":0.2946101166863358,"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."}}