{"id":"W3042532729","doi":"10.1161/circresaha.120.316903","title":"Meta-Analysis of Leukocyte Diversity in Atherosclerotic Mouse Aortas","year":2020,"lang":"en","type":"review","venue":"Circulation Research","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":383,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; Karl-Franzens-Universität Graz; Servier; Medizinische Universität Wien; Universität Wien; Novo Nordisk Fonden; Julius-Maximilians-Universität Würzburg; Kennedy Trust for Rheumatology Research","keywords":"Biology; Mass cytometry; Chemokine receptor; Chemokine; Immunology; Macrophage; Immune system; Flow cytometry; Innate lymphoid cell; CXCL16; Cell; Cell biology; Innate immune system; Myeloid; Phenotype","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":[0.02125875,0.001964164,0.0096056,0.006421445,0.0005966088,0.002904776,0.001919264,0.0021354,0.002849234],"category_scores_gemma":[0.02507371,0.001190665,0.01980738,0.006826123,0.0004714132,0.001175567,0.001491664,0.001445388,0.0004064495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007573488,"about_ca_system_score_gemma":0.0009130303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141131,"about_ca_topic_score_gemma":0.002121245,"domain_scores_codex":[0.981062,0.009106075,0.002266505,0.005277113,0.001722756,0.0005656265],"domain_scores_gemma":[0.9770279,0.01458738,0.002076717,0.004518232,0.001322203,0.0004676459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004803349,0.00003983979,0.1495767,0.01481819,0.8027517,0.0004226524,0.0001247834,0.002292096,0.006561341,0.0004667068,0.00177954,0.01636308],"study_design_scores_gemma":[0.0004028331,0.0006753549,0.1235251,0.001371186,0.8532912,0.0006967417,0.0001844011,0.005285019,0.002866594,0.001758731,0.009843355,0.00009941839],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2980005,0.609851,0.04784073,0.001783951,0.001550752,0.000586623,0.03697964,0.00114166,0.002265093],"genre_scores_gemma":[0.9502124,0.02217026,0.01560451,0.001031112,0.0003332938,0.0006956719,0.00888354,0.000326503,0.0007427417],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02125875,"threshold_uncertainty_score":0.1124284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5451787419988359,"score_gpt":0.4269961807616889,"score_spread":0.1181825612371469,"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."}}