{"id":"W4401909044","doi":"10.1007/s12264-024-01256-5","title":"A Neuronal Activity-Boosting Microglial Function in Post-Anesthetic Emergence: How Microglial-Neuronal Crosstalk May Alter States of Consciousness","year":2024,"lang":"en","type":"article","venue":"Neuroscience Bulletin","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; McGill University; University of British Columbia; University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Microglia; Boosting (machine learning); Crosstalk; Neurology; Consciousness; Pain medicine; Human physiology; Premovement neuronal activity; Anesthesiology; Medicine; Brain function; Psychology; Anesthesia; Internal medicine; Inflammation; Physics; Computer science","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":[0.0002346818,0.0004093475,0.0003402863,0.0001599435,0.0005052521,0.000755342,0.0002838688,0.0005348442,0.003224979],"category_scores_gemma":[0.0003720754,0.0001049396,0.0005076416,0.0001036268,0.0005201651,0.0006180162,0.0004137991,0.001313056,0.000274793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004387562,"about_ca_system_score_gemma":0.0005931779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006713251,"about_ca_topic_score_gemma":0.001518695,"domain_scores_codex":[0.9998533,0.00002948117,0.000008630355,0.00001848442,0.00002535944,0.00006474347],"domain_scores_gemma":[0.9998841,0.00001682891,0.00003107855,0.00001353495,0.00002439376,0.00002990412],"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":[0.00283113,0.0003799113,0.003732757,0.0004170488,0.0001175822,0.001222575,0.0003806214,0.000347074,0.94295,0.00583287,0.001213868,0.04057452],"study_design_scores_gemma":[0.0003387982,0.009540096,0.1851822,0.0005418506,0.0007415524,0.004217575,0.003970177,0.003927956,0.748948,0.021576,0.02090215,0.000113657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636088,0.01304267,0.01026471,0.002759931,0.0007680694,0.0001373111,0.0002338785,0.0001224954,0.0090621],"genre_scores_gemma":[0.9917196,0.004343239,0.00179137,0.0003360086,0.0001390988,0.00005610936,0.00007274932,0.0000114497,0.001530247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003224979,"threshold_uncertainty_score":0.01078862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168133336056345,"score_gpt":0.2640278288921726,"score_spread":0.2423464955316092,"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."}}