{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024047,0.001101836,0.0005115269,0.0007067467,0.0005208729,0.0008167665,0.0009287865,0.001318005,0.002400793],"category_scores_gemma":[0.0003100841,0.0004688835,0.0007046876,0.0002538433,0.0004642659,0.0006347619,0.0005114119,0.002407885,0.001217151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005513369,"about_ca_system_score_gemma":0.0007594314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156164,"about_ca_topic_score_gemma":0.001843365,"domain_scores_codex":[0.9995108,0.00008108762,0.00004589221,0.0001264781,0.0001126677,0.0001231202],"domain_scores_gemma":[0.9995409,0.00008213423,0.0001099223,0.00009766099,0.00007148384,0.00009781442],"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":[0.000158652,0.0001225814,0.00007329599,0.00004349067,0.00001233184,0.00009696871,0.00005117334,0.0001261963,0.9969673,0.0008244875,0.0001941314,0.001329356],"study_design_scores_gemma":[0.0001218306,0.0005662335,0.0006931885,0.00003594196,0.00007001268,0.0008251537,0.00006649289,0.002393418,0.9842143,0.000309051,0.01069219,0.00001219621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7567484,0.005594941,0.2176928,0.001830885,0.0008988669,0.001984014,0.003909027,0.001378121,0.009962942],"genre_scores_gemma":[0.8096832,0.003703974,0.162067,0.0005285797,0.0001294259,0.002123483,0.003736662,0.000456849,0.01757075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002400793,"threshold_uncertainty_score":0.008031428,"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."}}