{"id":"W2896518632","doi":"10.1038/s41467-018-06318-7","title":"Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1620,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network; Toronto General Hospital; University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health; Canada First Research Excellence Fund; Universiteit Gent; University of Toronto; University of Washington","keywords":"Hepatic stellate cell; Immune system; Biology; Flow cytometry; Cell; Liver cytology; Parenchyma; Cell type; Macrophage; RNA; Monocyte; Pathology; Cell biology; Immunology; Gene; Medicine; In vitro; Genetics; Endocrinology","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":[0.00009932941,0.0001127605,0.0001686791,0.0003378699,0.0001405462,0.0002148048,0.00006707005,0.0001407205,0.0005704076],"category_scores_gemma":[0.0001863693,0.00007868106,0.0001517131,0.000280734,0.0001508062,0.00005756496,0.00009960846,0.0001305038,0.0003455323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000068922,"about_ca_system_score_gemma":0.0001249271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005231745,"about_ca_topic_score_gemma":0.001180907,"domain_scores_codex":[0.9999207,0.000009774893,0.000004594404,0.0000323685,0.00002090242,0.00001159746],"domain_scores_gemma":[0.9999143,0.00003043264,0.00001291095,0.00001271886,0.00002244206,0.000007254096],"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":[0.00005259618,0.000003869943,0.001814883,0.00002370976,0.000005711174,0.00004106305,0.00006395386,0.00009678494,0.9934707,0.00004335046,0.00004236451,0.004341122],"study_design_scores_gemma":[0.00001113368,0.0001960268,0.1203794,0.0000188137,0.00006777554,0.0006248932,0.0003261637,0.003658716,0.8683735,0.0003843655,0.005943042,0.00001620089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660363,0.001224016,0.0273412,0.00008283458,0.00001537852,0.00003630777,0.003446386,0.0001290012,0.001688538],"genre_scores_gemma":[0.9611879,0.001129466,0.03038417,0.0001298314,0.0000186998,0.0001191893,0.004562514,0.00007050761,0.002397804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005704076,"threshold_uncertainty_score":0.001908243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388650219155873,"score_gpt":0.2959429796337557,"score_spread":0.2520564774421969,"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."}}