{"id":"W2964755252","doi":"10.1016/j.neuron.2019.07.002","title":"Development of a Chimeric Model to Study and Manipulate Human Microglia In Vivo","year":2019,"lang":"en","type":"article","venue":"Neuron","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":387,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Center for Research Resources; National Eye Institute; National Institute on Aging; Innovative Medicines Initiative; National Institute on Drug Abuse; California Institute for Regenerative Medicine; National Cancer Institute; National Institutes of Health; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Cancer Research Institute; Foundation for the National Institutes of Health","keywords":"Microglia; Biology; Neuroscience; Transplantation; Ex vivo; Context (archaeology); Transcriptome; In vivo; Immune system; Humanized mouse; Phenotype; Immunology; Gene; Medicine; Inflammation; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009028632,0.0001168077,0.000143995,0.0001702261,0.0000617025,0.00002344677,0.0001349978,0.00001834755,0.0000494977],"category_scores_gemma":[0.00002207584,0.000118816,0.00001441,0.0002031668,0.000008460645,0.00008366223,0.0001029046,0.0000812812,0.00004506477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009399465,"about_ca_system_score_gemma":0.00001760017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001770107,"about_ca_topic_score_gemma":0.00001497922,"domain_scores_codex":[0.9988599,0.00007706686,0.0003045925,0.0004048897,0.0002047677,0.0001487915],"domain_scores_gemma":[0.9996305,0.00001823046,0.00007146053,0.0002101763,0.00001094376,0.00005872568],"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":[0.00001674026,0.0001145416,0.000505538,0.000008279197,4.37641e-7,0.000006991714,0.001057474,0.0007762735,0.9965476,0.0004591752,0.000006200373,0.0005007612],"study_design_scores_gemma":[0.0005226062,0.0001703291,0.005715302,0.000004877276,0.000001725672,0.000004033971,0.00002595318,0.006904845,0.9863783,0.00004337518,0.000124313,0.0001043077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986652,8.592053e-7,0.0001052853,0.00004462006,0.00009525218,0.0006526599,0.000001507576,0.00003547622,0.000399131],"genre_scores_gemma":[0.9979018,0.000001383906,0.0007774167,0.0005931669,0.000004988783,0.00001656234,2.21803e-7,0.00001864387,0.0006858393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016926,"threshold_uncertainty_score":0.4845175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05561323056885657,"score_gpt":0.2907511737203631,"score_spread":0.2351379431515065,"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."}}